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SL. No. Title of paper Name of the author/s Department of the teacher Name of journal Year of publication ISSN number Link to website of the Journal Link to the recognition in UGC enlistment of the Journal /Digital Object Identifier (doi) number Link to article/paper/abstract of the article Is it listed in UGC Care list/Scopus/Web of Science/other, mention Student Publication (Yes/No) Link
1                        
2 An analysis of intra-relationships among the macroeconomic indicators and its behavioural aspect and pattern using India as case study Arghya Kusum Das Computer Science & Engineering GIS Science Journal 2021 ISSN NO : 1869-9391 http://www.gisscience.net/ DOI:20.18001.GSJ.2021.V8I8.21.37847 https://drive.google.com/file/d/1UrLm_6u5QddMSed3PugnndD_yVSIZBQI/view UGC Care list No  
3 Bandwidth allocation for communicating virtual machines in cloud data centers K. Karmakar, R.K. Das and S. Khatua Computer Science & Engineering Journal of Supercomputing 2020 Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
https://doi.org/10.1007/s11227-019-03128-6 https://link.springer.com/article/10.1007/s11227-019-03128-6 https://link.springer.com/article/10.1007/s11227-019-03128-6 Web of Science No  
4 An ACO-based multi-objective optimization for cooperating VM placement in cloud data center K. Karmakar, R.K. Das and S. Khatua Computer Science & Engineering Journal of Supercomputing 2021 Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
https://doi.org/10.1007/s11227-021-03978-z https://link.springer.com/article/10.1007/s11227-021-03978-z https://link.springer.com/article/10.1007/s11227-021-03978-z Web of Science No  
5 IPLQueeN: Integrity Preserving Low-Overhead Query Handling Over NDN-Based WSN Tanusree Chatterjee, Somnath Karmakar, Sipra Das Bit Computer Science & Engineering IEEE Access 2021   https://ieeexplore.ieee.org/abstract/document/9447029 https://ieeexplore.ieee.org/document/9447029 https://ieeexplore.ieee.org/document/9447029 SCIE, Scopus NO  
6 Efficient Data Storage and Name Look-up in Named Data Networking using Connected Dominating Set and Patricia Trie Tanusree Chatterjee, Sushmita Ruj, Sipra Das Bit Computer Science & Engineering Automatic Control and Computer Sciences Journal, Springer 2021   https://link.springer.com/article/10.3103/S0146411621040039 https://www.springer.com/journal/11950 https://doi.org/10.3103/S0146411621040039 Scopus, ESCI NO  
7 Semantic Web and Web Page Clustering Algorithms: A Landscape View Ahmed J. Obaid, Tanusree Chatterjee, Abhishek Bhattacharya Computer Science & Engineering Energy Web Journal, EAI Transactions 2020   http://eprints.eudl.eu/id/eprint/4358/1/eai.18-11-2020.167099.pdf http://eprints.eudl.eu/id/eprint http://eprints.eudl.eu/id/eprint/4358/1/eai.18-11-2020.167099.pdf Scopus NO  
8 Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach Bikash Sadhukhan, Somenath Mukherjee, Shayak Chakraborty Computer Science & Engineering Arabian Journal of Geosciences, Springer 2022
Electronic ISSN : 1866-7538
Print ISSN : 1866-7511
https://www.springer.com/journal/12517/ http://dx.doi.org/10.1007/s12517-021-09229-y https://link.springer.com/article/10.1007/s12517-021-09229-y Scopus NO https://drive.google.com/file/d/1SRt0Vu5-1a_0ZyOiTlFcpcxzy98cwAyU/view?usp=share_link
9 Impact of Climate Change on Seismicity: A Statistical Approach Chiranjit Maji, Bikash Sadhukhan, Somenath Mukherjee, Saroj Khutia, Hirok Chaudhuri Computer Science & Engineering Arabian Journal of Geosciences, Springer 2021
Electronic ISSN : 1866-7538
Print ISSN : 1866-7511
https://www.springer.com/journal/12517/ http://dx.doi.org/10.1007/s12517-021-08946-8 https://link.springer.com/article/10.1007/s12517-021-08946-8 Scopus NO  
10 Multifractal, Nonlinear and Chaotic nature of Earthquake and Global Temperature Bikash Sadhukhan, Somenath Mukherjee, Shounak Banerjee,Raj Kumar Samanta Computer Science & Engineering Arabian Journal of Geosciences, Springer 2021
Electronic ISSN : 1866-7538
Print ISSN : 1866-7511
https://www.springer.com/journal/12517/ https://doi.org/10.1007/s12517-021-08153-5 https://link.springer.com/article/10.1007/s12517-021-08153-5 Scopus NO  
11 Investigating the Relationship between Earthquake Occurrences and Global Temperature Fluctuation Patterns Bikash Sadhukhan, Somenath Mukherjee, Debarpito Sarkar, Raj Kumar Samanta Computer Science & Engineering Arabian Journal of Geosciences, Springer 2021
Electronic ISSN : 1866-7538
Print ISSN : 1866-7511
https://www.springer.com/journal/12517/ https://doi.org/10.1007/s12517-021-08296-5 https://link.springer.com/article/10.1007/s12517-021-08296-5 Scopus NO  
12 Stock Market Prediction Using Deep Learning Algorithms Somenath Mukherjee, Bikash Sadhukhan, Nairita Sarkar, Debojyoti Roy, Soumil De Computer Science & Engineering CAAI Transactions on Intelligence Technology 2021 ISSN 2468-2322 https://ietresearch.onlinelibrary.wiley.com/journal/24682322 https://doi.org/10.1049/cit2.12059 https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12059 Scopus, SCIE NO  
13 Scope of machine learning applications for addressing the challenges in next‐generation wireless networks Raj Kumar Samanta, Bikash Sadhukhan, Hiranmoy Samadder, Suvobrata Sarkar, Chandan Konar, Monideepa Ghosh Computer Science & Engineering CAAI Transactions on Intelligence Technology 2022 ISSN 2468-2323 https://ietresearch.onlinelibrary.wiley.com/journal/24682322 https://doi.org/10.1049/cit2.12114 https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12114 Scopus, SCIE NO https://drive.google.com/file/d/1DrlNbPl363BcC0c2cmwNAVOxTcvmLeOw/view?usp=share_link
14 Hurst Exponent Estimation Using Neural Network Somenath Mukherjee, Bikash Sadhukhan, Arghya Kusum Das, Abhra Chaudhuri, Computer Science & Engineering International Journal of Computational Science and Engineering 2022 (In press)
ISSN online: 1742-7193
ISSN print: 1742-7185
https://www.inderscience.com/jhome.php?jcode=ijcse   Scopus, ESCI NO https://drive.google.com/file/d/1zyUy-yKUpj9iEQsQHns91Bwuvi94jktk/view?usp=share_link
15 Stochastic Model for Intelligent Cell Level Mobility Prediction in Next Generation Wireless Networks Raj Kumar Samanta, Bikash Sadhukhan,Hiranmay Samaddar, Suvobrata Sarkar, Chandan Koner, Arpan Choudhary Computer Science & Engineering INFOCOMP Journal of Computer Science 2021 2347-2693 (Online) https://infocomp.dcc.ufla.br/index.php/infocomp http://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1486 http://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1486 UGC Care NO  
16 Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak Nabanita Das, BikashSadhukhan, Tanusree Chatterjee, Satyajit Chakrabarti Computer Science & Engineering Social Network Analysis and Mining. 2022
Electronic ISSN
1869-5469
https://www.springer.com/journal/13278
10.1007/s13278-022-00919-3
https://link.springer.com/article/10.1007/s13278-022-00919-3#citeas Scopus, ESCI NO https://drive.google.com/file/d/1TWw8UU33ToQ6pLRwxAsGJQpa7oH6YalC/view?usp=share_link
17
A Comprehensive Survey on Bird Species Identification Models
Nilanjana Adhikari, Suman Bhattacharya, Mahamuda Sultana Computer Science & Engineering International Journal of Computer Information Systems and Industrial Management Applications 2021 ISSN 2150-7988 MIR Labs, www.mirlabs.net/ijcisim/index.html     Scopus, ESCI No  
18 Security Issues in Named Data Networks Tanusree Chatterjee, Sushmita Ruj, Sipra Das Bit Computer Science & Engineering Computer Journal, IEEE 2018 EISSN: 1558-0814 https://ieeexplore.ieee.org/abstract/document/8267994   https://ieeexplore.ieee.org/abstract/document/8267994 SCIE, Scopus No  
19 Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks Kuang, Y., Wu, Q., Wang, Y., Dey, N., Shi, F., Crespo, R. G., & Sherratt, R. S. (2020). Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks. Applied Soft Computing, 97, 106775. Computer Science & Engineering Applied Soft Computing 2020 1568-4946 https://www.sciencedirect.com/science/article/abs/pii/S1568494620307134     SCIE    
20 A New SEAIRD Pandemic Prediction Model with Clinical and Epidemiological Data Analysis on COVID-19 Outbreak Liu, X. X., Fong, S. J., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2021). A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak. Applied Intelligence, 51(7), 4162-4198 Computer Science & Engineering Applied Intelligence 2021 0924669X, 15737497 https://www.springer.com/journal/10489 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775669/ SCIE    
21 Genetic Algorithm-based Initial Contour Optimization for Skin Lesion Border Detection Ashour, A. S., Nagieb, R. M., El-Khobby, H. A., Abd Elnaby, M. M., & Dey, N. (2021). Genetic algorithm-based initial contour optimization for skin lesion border detection. Multimedia Tools and Applications, 80(2), 2583-2597. Computer Science & Engineering Multimedia Tools and Applications 2021 13807501, 15737721 https://www.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-020-09792-8 SCIE    
22 Mendelian Evolutionary Theory Optimization Algorithm Gupta, N., Khosravy, M., Patel, N., Dey, N., & Mahela, O. P. (2020). Mendelian evolutionary theory optimization algorithm. Soft Computing, 24(19), 14345-14390. Computer Science & Engineering Soft Computing 2020 1432-7643 (Print) 1433-7479 (Online) https://www.springer.com/journal/500 https://link.springer.com/article/10.1007/s00500-020-05239-2 SCIE    
23 A Hybrid Shape-based Image Clustering using Time-series Analysis Mondal, A., Dey, N., Fong, S., & Ashour, A. S. (2021). A hybrid shape-based image clustering using time-series analysis. Multimedia Tools and Applications, 80(3), 3793-3808. Computer Science & Engineering Multimedia Tools and Applications 2021 13807501, 15737721 https://www.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-020-09765-x SCIE    
24 PCHET: An Efficient Programmable Cellular Automata Based Hybrid Encryption Technique for Multi-Chat Client-Server Applications Roy, S., Gupta, R. K., Rawat, U., Dey, N., & Crespo, R. G. (2020). PCHET: An efficient programmable cellular automata based hybrid encryption technique for multi-chat client-server applications. Journal of Information Security and Applications, 55, 102624. Computer Science & Engineering Journal of Information Security and Applications 2020 2214-2134 https://www.sciencedirect.com/journal/journal-of-information-security-and-applications https://www.sciencedirect.com/science/article/abs/pii/S2214212620307894 SCIE    
25 iGridEdgeDrone: Hybrid Mobility Aware Intelligent Load Forecasting by Edge Enabled Internet of Drone Things for Smart Grid Networks Ahuja, S., Panigrahi, B. K., Dey, N., Rajinikanth, V., & Gandhi, T. K. (2021). Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices. Applied Intelligence, 51(1), 571-585. Computer Science & Engineering International Journal of Parallel Programming 2021 0885-7458 https://www.springer.com/journal/10766 https://link.springer.com/article/10.1007/s10766-020-00675-x SCIE    
26 Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices Ahuja, S., Panigrahi, B. K., Dey, N., Rajinikanth, V., & Gandhi, T. K. (2021). Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices. Applied Intelligence, 51(1), 571-585. Computer Science & Engineering Applied Intelligence 2021 0924669X, 15737497 https://www.springer.com/journal/10489 https://link.springer.com/article/10.1007/s10489-020-01826-w SCIE    
27 Social-Group-Optimization Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images Dey, N., Rajinikanth, V., Fong, S. J., Kaiser, M. S., & Mahmud, M. (2020). Social group optimization–assisted Kapur’s entropy and morphological segmentation for automated detection of COVID-19 infection from computed tomography images. Cognitive Computation, 12(5), 1011-1023. Computer Science & Engineering Cognitive Computation 2020 1866-9956 https://www.springer.com/journal/12559 https://link.springer.com/article/10.1007/s12559-020-09751-3 SCIE    
28 Lightweight Artificial Intelligence Technology for Health Diagnosis of Agriculture Vehicles Gupta, N., Khosravy, M., Gupta, S., Dey, N., & Crespo, R. G. (2020). Lightweight artificial intelligence technology for health diagnosis of agriculture vehicles: parallel evolving artificial neural networks by genetic algorithm. International Journal of Parallel Programming, 1-26. Computer Science & Engineering International Journal of Parallel Programming 2020 Online ISSN: 1573-7640 Print ISSN: 0885-7458 https://www.springer.com/journal/10766 https://www.researchgate.net/publication/342232959_Lightweight_Artificial_Intelligence_Technology_for_Health_Diagnosis_of_Agriculture_Vehicles SCIE    
29 Fragmented Handwritten Digit Recognition using Grading Scheme and Fuzzy Rules Chaki, J., & Dey, N. (2020). Fragmented handwritten digit recognition using grading scheme and fuzzy rules. Sādhanā, 45(1), 1-23. Computer Science & Engineering Sādhanā 2020 0256-2499 (print) 0973-7677 (web) https://www.springer.com/journal/12046 https://link.springer.com/article/10.1007/s12046-020-01410-5 SCIE    
30 Deep Back Propagation-Long Short Term Memory Network-based Upper-limb sEMG Signal Classification for Automated Rehabilitation Wang, Y., Wu, Q., Dey, N., Fong, S., & Ashour, A. S. (2020). Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation. Biocybernetics and Biomedical Engineering, 40(3), 987-1001. Computer Science & Engineering Biocybernetics and Biomedical Engineering 2020 2085216 https://www.sciencedirect.com/journal/biocybernetics-and-biomedical-engineering https://www.sciencedirect.com/science/article/abs/pii/S0208521620300619 SCIE    
31 Economic Data Analytic AI Technique on IoT Edge Devices for Health Monitoring of Agriculture Machines Gupta, N., Khosravy, M., Patel, N., Dey, N., Gupta, S., Darbari, H., & Crespo, R. G. (2020). Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines. Applied Intelligence, 50(11), 3990-4016. Computer Science & Engineering Applied Intelligence 2020 0924669X, 15737497 https://www.springer.com/journal/10489 https://link.springer.com/article/10.1007/s10489-020-01744-x SCIE    
32 Adjectives Grouping in Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation Huang, W., Wu, Q., Dey, N., Ashour, A. S., Fong, S. J., & Crespo, R. G. (2020). Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation. Int. J. Interact. Multim. Artif. Intell., 6(2), 1-10. Computer Science & Engineering International Journal of Interactive Multimedia and Artificial Intelligence 2020 1989-1660 https://www.ijimai.org/journal/
10.9781/ijimai.2020.05.002
https://www.ijimai.org/journal/bibcite/reference/2767 SCIE    
33 Enhanced Resource Allocation in Mobile Edge Computing using Reinforcement Learning based MOACO Algorithm for IIOT Vimal, S., Khari, M., Dey, N., Crespo, R. G., & Robinson, Y. H. (2020). Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT. Computer Communications, 151, 355-364. Computer Science & Engineering Computer Communications 2020 1403664 https://www.sciencedirect.com/journal/computer-communications https://www.sciencedirect.com/science/article/abs/pii/S0140366419319255 SCIE    
34 EdgeDrone: QoS aware MQTT middleware for Mobile Edge computing in opportunistic Internet of Drone Things Mukherjee, A., Dey, N., & De, D. (2020). EdgeDrone: QoS aware MQTT middleware for mobile edge computing in opportunistic Internet of Drone Things. Computer Communications, 152, 93-108. Computer Science & Engineering Computer Communications 2020 1403664 https://www.sciencedirect.com/journal/computer-communications https://www.sciencedirect.com/science/article/abs/pii/S0140366419315750 SCIE    
35 Colored Video Analysis in Wireless Capsule Endoscopy: A Survey of State-of-the-Art Ashour, A. S., Dey, N., Mohamed, W. S., Tromp, J. G., Sherratt, R. S., Shi, F., & Moraru, L. (2020). Colored video analysis in wireless capsule endoscopy: a survey of state-of-the-art. Current medical imaging, 16(9), 1074-1084. Computer Science & Engineering Current Medical Imaging Reviews 2020 15734056, 18756603 https://benthamscience.com/public/journals/current-medical-imaging https://pubmed.ncbi.nlm.nih.gov/32107996/ SCIE    
36 Data Tagging In Medical Images: A Survey of the State-of-art Chaki, J., & Dey, N. (2020). Data tagging in medical images: A survey of the state-of-art. Current Medical Imaging, 16(10), 1214-1228. Computer Science & Engineering Current Medical Imaging Reviews 2020 15734056, 18756603 https://benthamscience.com/public/journals/current-medical-imaging https://pubmed.ncbi.nlm.nih.gov/32108002/ SCIE    
37 Learning models for semantic classification of insufficient plantar pressure images Wu, Y., Wu, Q., Dey, N., & Sherratt, S. (2020). Learning models for semantic classification of insufficient plantar pressure images. International Journal of Interactive Multimedia and Artificial Intelligence, 6(1), 51-61. Computer Science & Engineering International Journal of Interactive Multimedia and Artificial Intelligence 2020 1989-1660 https://www.ijimai.org/journal/
10.9781/ijimai.2020.02.005
https://www.ijimai.org/journal/bibcite/reference/2756 SCIE    
38 Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak Fong, S. J., Li, G., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2020). Finding an accurate early forecasting model from small dataset: A case of 2019-ncov novel coronavirus outbreak. arXiv preprint arXiv:2003.10776. Computer Science & Engineering International Journal of Interactive Multimedia and Artificial Intelligence 2020 19891660 https://www.ijimai.org/journal/ https://arxiv.org/abs/2003.10776 SCIE    
39 Energy Enhancement using Multi-objective Ant Colony Optimisation with Double Q-Learning Algorithm for IOT Based Cognitive Radio Networks Vimal, S., Khari, M., Crespo, R. G., Kalaivani, L., Dey, N., & Kaliappan, M. (2020). Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks. Computer Communications, 154, 481-490. Computer Science & Engineering Computer Communications 2020 1403664 https://www.sciencedirect.com/journal/computer-communications https://www.sciencedirect.com/science/article/abs/pii/S0140366420301481 SCIE    
40 Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction Fong, S. J., Li, G., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2020). Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction. Applied soft computing, 93, 106282. Computer Science & Engineering Applied Soft Computing 2020 1568-4946 https://www.sciencedirect.com/journal/applied-soft-computing https://www.sciencedirect.com/science/article/pii/S1568494620302222 SCIE    
41 Probabilistic Stone’s Blind Source Separation with Application to Channel Estimation and Multi-node Identification in MIMO IoT Green Communication and Multimedia Systems Khosravy, M., Gupta, N., Patel, N., Dey, N., Nitta, N., & Babaguchi, N. (2020). Probabilistic Stone’s Blind Source Separation with application to channel estimation and multi-node identification in MIMO IoT green communication and multimedia systems. Computer Communications, 157, 423-433. Computer Science & Engineering Computer Communications 2020 1403664 https://www.sciencedirect.com/journal/computer-communications https://www.sciencedirect.com/science/article/abs/pii/S0140366420302516 SCIE    
42 Deep- segmentation of plantar pressure images incorporating fully convolutional neural networks Wang, D., Li, Z., Dey, N., Ashour, A. S., Moraru, L., Sherratt, R. S., & Shi, F. (2020). Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks. Biocybernetics and Biomedical Engineering, 40(1), 546-558. Computer Science & Engineering Biocybernetics and Biomedical Engineering 2020 2085216 https://www.sciencedirect.com/journal/biocybernetics-and-biomedical-engineering https://www.sciencedirect.com/science/article/abs/pii/S0208521620300097 SCIE    
43 Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm Jagatheesan, K., Anand, B., Samanta, S., Dey, N., Ashour, A. S., & Balas, V. E. (2017). Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm. IEEE/CAA Journal of Automatica Sinica, 6(2), 503-515. Computer Science & Engineering IEEE/CAA Journal of Automatica Sinica 2017 23299266, 23299274 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6570654
10.1109/JAS.2017.7510436
https://ieeexplore.ieee.org/document/7833232 SCIE    
44 Automated Image Analysis System for Renal Filtration Barrier Integrity of Potassium Bromate Treated Adult Male Albino Rat Kashef, S. M. I., El Hafez, A. A. A. A., Sarhan, N. I., El-Shal, A. O., Ata, M. M., Ashour, A. S., Dey, N.& Sherratt, R. S. (2020). Automated image analysis system for renal filtration barrier integrity of potassium bromate treated adult male albino rat. Multimedia Tools and Applications, 79(11), 7559-7575. Computer Science & Engineering Multimedia Tools and Applications 2020 13807501, 15737721 https://www.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-019-08589-8 SCIE    
45 Long Short Term Memory based Patient- dependent Model for FOG Detection in Parkinson's Disease Ashour, A. S., El-Attar, A., Dey, N., Abd El-Kader, H., & Abd El-Naby, M. M. (2020). Long short term memory based patient-dependent model for FOG detection in Parkinson's disease. Pattern recognition letters, 131, 23-29. Computer Science & Engineering Pattern Recognition Letters 2020 0167-8655 https://www.sciencedirect.com/journal/pattern-recognition-letters https://www.sciencedirect.com/science/article/abs/pii/S0167865519303563 SCIE    
46 Computer-aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies Maiti, A., Chatterjee, B., Ashour, A. S., & Dey, N. (2020). Computer-Aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies. Current Medical Imaging, 16(7), 835-854. Computer Science & Engineering Current Medical Imaging Reviews 2020 1573-4056 https://benthamscience.com/public/journals/current-medical-imaging https://pubmed.ncbi.nlm.nih.gov/33059554/ SCIE    
47 Metaheuristics for Maximization of Obstacles Constrained Area Coverage in Heterogeneous Wireless Sensor Networks Binh, H. T. T., Hanh, N. T., Nghia, N. D., & Dey, N. (2020). Metaheuristics for maximization of obstacles constrained area coverage in heterogeneous wireless sensor networks. Applied Soft Computing, 86, 105939. Computer Science & Engineering Applied Soft Computing 2020 15684946 https://www.sciencedirect.com/journal/applied-soft-computing sciencedirect.com/science/article/abs/pii/S1568494619307203 SCIE    
48 Lightweight Sustainable Intelligent Load Forecasting Platform for Smart Grid Applications Mukherjee, A., Mukherjee, P., Dey, N., De, D., & Panigrahi, B. K. (2020). Lightweight sustainable intelligent load forecasting platform for smart grid applications. Sustainable Computing: Informatics and Systems, 25, 100356. Computer Science & Engineering Sustainable Computing: Informatics and Systems 2020 2210-5379 https://www.sciencedirect.com/journal/sustainable-computing-informatics-and-systems https://www.sciencedirect.com/science/article/abs/pii/S2210537918303421 SCIE    
49 Genome Sequence comparison under a new form of tri-nucleotide representation based on characteristic properties of nucleotides Das, S., Das, A., Mondal, B., Dey, N., Bhattacharya, D. K., & Tibarewala, D. N. (2020). Genome sequence comparison under a new form of tri-nucleotide representation based on bio-chemical properties of nucleotides. Gene, 730, 144257. Computer Science & Engineering Genes 2020 2073-4425 https://www.mdpi.com/journal/genes https://pubmed.ncbi.nlm.nih.gov/31759983/ SCIE    
50 How trust affects performance of interprofessional health-care teams Sifaki-Pistolla, D., Melidoniotis, E., Dey, N., & Chatzea, V. E. (2020). How trust affects performance of interprofessional health-care teams. Journal of Interprofessional Care, 34(2), 218-224. Computer Science & Engineering Journal of Interprofessional Care 2020 1356-1820 (print) https://www.tandfonline.com/journals/ijic20 https://www.tandfonline.com/doi/abs/10.1080/13561820.2019.1631763?journalCode=ijic20 SCIE    
51 Social-Group-Optimization based Tumor Evaluation Tool for Clinical Brain MRI of Flair/Diffusion-Weighted Modality Dey, N., Rajinikanth, V., Shi, F., Tavares, J. M. R., Moraru, L., Karthik, K. A., ... & Emmanuel, C. (2019). Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality. Biocybernetics and Biomedical Engineering, 39(3), 843-856. Computer Science & Engineering Biocybernetics and Biomedical Engineering 2019 2085216 https://www.sciencedirect.com/journal/biocybernetics-and-biomedical-engineering https://www.sciencedirect.com/science/article/abs/pii/S0208521619301524 SCIE    
52 Plantar pressure image fusion for comfort fusion in diabetes mellitus using an improved fuzzy hidden Markov model Li, Z., Wang, D., Dey, N., Ashour, A. S., Sherratt, R. S., & Shi, F. (2019). Plantar pressure image fusion for comfort fusion in diabetes mellitus using an improved fuzzy hidden Markov model. Biocybernetics and Biomedical Engineering, 39(3), 742-752. Computer Science & Engineering Biocybernetics and Biomedical Engineering 2019 2085216 https://www.sciencedirect.com/journal/biocybernetics-and-biomedical-engineering https://www.sciencedirect.com/science/article/abs/pii/S0208521618305679 SCIE    
53 Multi-Modal Classifier Fusion with Feature Cooperation for Glaucoma Diagnosis Benzebouchi, N. E., Azizi, N., Ashour, A. S., Dey, N., & Sherratt, R. S. (2019). Multi-modal classifier fusion with feature cooperation for glaucoma diagnosis. Journal of Experimental & Theoretical Artificial Intelligence, 31(6), 841-874. Computer Science & Engineering Journal of Experimental & Theoretical Artificial Intelligence 2019 13623079, 0952813X https://www.tandfonline.com/journals/teta20 https://www.tandfonline.com/doi/abs/10.1080/0952813X.2019.1653383?journalCode=teta20 SCIE    
54 Delay Tolerant Network assisted flying Ad-Hoc network scenario: Modeling and analytical perspective Mukherjee, A., Dey, N., Kumar, R., Panigrahi, B. K., Hassanien, A. E., & Tavares, J. M. R. (2019). Delay Tolerant Network assisted flying Ad-Hoc network scenario: modeling and analytical perspective. Wireless Networks, 25(5), 2675-2695. Computer Science & Engineering Wireless Networks 2019 10220038, 15728196 https://www.springer.com/journal/11276 https://link.springer.com/article/10.1007/s11276-019-01987-8 SCIE    
55 A Clustering based Variable Sub-window Optimization Approach using PSO for Biomedical Sensor Data Monitoring
Lan, K., Fong, S., Liu, L. S., Wong, R. K., Dey, N., Millham, R. C., & Wong, K. K. (2021). A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring. Enterprise Information Systems, 15(1), 15-35.
Computer Science & Engineering Enterprise Information Systems, Taylor & Francis 2021 1751-7575 https://www.tandfonline.com/journals/teis20 https://www.tandfonline.com/doi/abs/10.1080/17517575.2019.1597388?journalCode=teis20 SCIE    
56 An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks Wang, C., Li, D., Li, Z., Wang, D., Dey, N., Biswas, A., ... & Shi, F. (2019). An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks. Optik, 185, 543-557. Computer Science & Engineering Optik - International Journal for Light and Electron Optics 2019 0030-4026 https://www.sciencedirect.com/journal/optik https://www.sciencedirect.com/science/article/abs/pii/S0030402619302268 SCIE    
57 Uneven Illumination Correction of Digital Images: A Survey of the State-of-the-Art Dey, N. (2019). Uneven illumination correction of digital images: a survey of the state-of-the-art. Optik, 183, 483-495. Computer Science & Engineering Optik - International Journal for Light and Electron Optics 2019 0030-4026 https://www.sciencedirect.com/journal/optik https://www.sciencedirect.com/science/article/abs/pii/S0030402619302359 SCIE    
58 Dual Feature Selection and Rebalancing Strategy using Meta-Heuristic Optimization Algorithms in X-Ray Image Datasets Li, J., Fong, S., Liu, L. S., Dey, N., Ashour, A. S., & Moraru, L. (2019). Dual feature selection and rebalancing strategy using metaheuristic optimization algorithms in X-ray image datasets. Multimedia Tools and Applications, 78(15), 20913-20933. Computer Science & Engineering Multimedia Tools and Applications 2019 13807501, 15737721 https://www.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-019-7354-5 SCIE    
59 Pattern Mining Approaches used in Sensor-Based Biometric Recognition: A Review Chaki, J., Dey, N., Shi, F., & Sherratt, R. S. (2019). Pattern mining approaches used in sensor-based biometric recognition: a review. IEEE Sensors Journal, 19(10), 3569-3580. Computer Science & Engineering IEEE Sensors Journal 2019 1530-437X https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361
10.1109/JSEN.2019.2894972
https://ieeexplore.ieee.org/document/8625438 SCIE    
60 Pattern Analysis of Genetics and Genomics: A Survey of the State-of-art Chaki, J., & Dey, N. (2020). Pattern analysis of genetics and genomics: a survey of the state-of-art. Multimedia Tools and Applications, 79(15), 11163-11194. Computer Science & Engineering Multimedia Tools and Applications 2020 13807501, 15737721 https://www.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-019-7181-8 SCIE    
61 Fragmented plant leaf recognition:Bag-of-features, fuzzy-color and edge texture histogram descriptors with multi-layer perceptron Chaki, J., Dey, N., Moraru, L., & Shi, F. (2019). Fragmented plant leaf recognition: Bag-of-features, fuzzy-color and edge-texture histogram descriptors with multi-layer perceptron. Optik, 181, 639-650. Computer Science & Engineering Optik - International Journal for Light and Electron Optics 2019 0030-4026 https://www.sciencedirect.com/journal/optik sciencedirect.com/science/article/abs/pii/S0030402618320394 SCIE    
62 Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem Li, Z., Janardhanan, M. N., Ashour, A. S., & Dey, N. (2019). Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem. Neural Computing and Applications, 31(12), 9095-9111. Computer Science & Engineering Neural Computing and Applications 2019 1433-3058 https://www.springer.com/journal/521 https://link.springer.com/article/10.1007/s00521-018-3957-4 SCIE    
63 Optical pressure sensors based plantar image segmenting using an improved fully convolutional network Wang, D., Li, Z., Dey, N., Ashour, A. S., Moraru, L., Biswas, A., & Shi, F. (2019). Optical pressure sensors based plantar image segmenting using an improved fully convolutional network. Optik, 179, 99-114. Computer Science & Engineering Optik - International Journal for Light and Electron Optics 2019 0030-4026 https://www.sciencedirect.com/journal/optik https://www.sciencedirect.com/science/article/abs/pii/S0030402618316760 SCIE    
64 Soil Moisture Quantity Prediction using Optimized Neural Supported model for Sustainable Agricultural Applications Chatterjee, S., Dey, N., & Sen, S. (2020). Soil moisture quantity prediction using optimized neural supported model for sustainable agricultural applications. Sustainable Computing: Informatics and Systems, 28, 100279. Computer Science & Engineering Sustainable Computing: Informatics and Systems 2020 2210-5379 (print); 2210-5387 (online). https://www.sciencedirect.com/journal/sustainable-computing-informatics-and-systems https://www.sciencedirect.com/science/article/abs/pii/S2210537918302464 SCIE    
65 Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network Wang, Y., Chen, Y., Yang, N., Zheng, L., Dey, N., Ashour, A. S., ... & Shi, F. (2019). Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network. Applied Soft Computing, 74, 40-50. Computer Science & Engineering Applied Soft Computing 2019 15684946 https://www.sciencedirect.com/journal/applied-soft-computing https://www.sciencedirect.com/science/article/abs/pii/S1568494618305623 SCIE    
66 Meta-KANSEI modeling with Valence-Arousal fMRI dataset of brain Shi, F., Dey, N., Ashour, A. S., Sifaki-Pistolla, D., & Sherratt, R. S. (2019). Meta-KANSEI modeling with valence-arousal fMRI dataset of brain. Cognitive Computation, 11(2), 227-240. Computer Science & Engineering Cognitive Computation 2019 1866-9956 https://www.springer.com/journal/12559 https://link.springer.com/article/10.1007/s12559-018-9614-5 SCIE    
67 Discrete wavelet transform based freezing of gait detection in Parkinson's disease El-Attar, A., Ashour, A. S., Dey, N., Abdelkader, H., Abd El-Naby, M. M., & Sherratt, R. S. (2021). Discrete wavelet transform-based freezing of gait detection in Parkinson’s disease. Journal of Experimental & Theoretical Artificial Intelligence, 33(4), 543-559. Computer Science & Engineering Journal of Experimental & Theoretical Artificial Intelligence 2021 13623079, 0952813X https://www.tandfonline.com/journals/teta20 https://www.tandfonline.com/doi/abs/10.1080/0952813X.2018.1519000?journalCode=teta20 SCIE    
68 Diabetic plantar pressure analysis using image fusion Cao, L., Dey, N., Ashour, A. S., Fong, S., Sherratt, R. S., Wu, L., & Shi, F. (2020). Diabetic plantar pressure analysis using image fusion. Multimedia Tools and Applications, 79(15), 11213-11236. Computer Science & Engineering Multimedia Tools and Applications 2020 13807501, 15737721 https://www.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-018-6269-x SCIE    
69 A Survey of Data Mining and Deep Learning in Bioinformatics Lan, K., Wang, D. T., Fong, S., Liu, L. S., Wong, K. K., & Dey, N. (2018). A survey of data mining and deep learning in bioinformatics. Journal of medical systems, 42(8), 1-20. Computer Science & Engineering Journal of medical systems 2018 01485598, 1573689X https://www.springer.com/journal/10916 https://link.springer.com/article/10.1007/s10916-018-1003-9 SCIE    
70 Temperature-Humidity Index described by fractal Higuchi Dimension affects tourism activity in the urban environment of Focşani City (Romania) Ciobotaru, A. M., Andronache, I., Dey, N., Petralli, M., Daneshvar, M. R. M., Wang, Q., ... & Pintilii, R. D. (2019). Temperature-Humidity Index described by fractal Higuchi Dimension affects tourism activity in the urban environment of Focşani City (Romania). Theoretical and Applied Climatology, 136(3), 1009-1019. Computer Science & Engineering Theoretical and Applied Climatology 2019 0177-798X (print) 1434-4483 (web) https://www.springer.com/journal/704 https://link.springer.com/article/10.1007/s00704-018-2501-x SCIE    
71 A Novel Bench-based Inspection Approach for Automobile Anti-Lock Braking System Zhao, X., Hao, R., Zhou, Z., Ashour, A., & Dey, N. (2018). Novel bench-based inspection approach for automobile anti-lock braking system. International journal of automotive technology, 19(5), 825-836. Computer Science & Engineering International Journal of Automotive Technology 2018 1229-9138 https://www.springer.com/journal/12239 https://link.springer.com/article/10.1007/s12239-018-0079-z SCIE    
72 Contrast Enhanced Medical MRI Evaluation using Tsallis Entropy and Region Growing Segmentation Raja, N., Fernandes, S. L., Dey, N., Satapathy, S. C., & Rajinikanth, V. (2018). Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation. Journal of Ambient Intelligence and Humanized Computing, 1-12. Computer Science & Engineering Journal of Ambient Intelligence and Humanized Computing 2018 1868-5137 (Print) 1868-5145 (Online) https://www.springer.com/journal/12652 https://link.springer.com/article/10.1007/s12652-018-0854-8 SCIE    
73 Predicting Unusual Energy Consumption Events from Smart Home Sensor Network by Data Stream Mining with Misclassified Recall Fong, S., Li, J., Song, W., Tian, Y., Wong, R. K., & Dey, N. (2018). Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall. Journal of Ambient Intelligence and Humanized Computing, 9(4), 1197-1221. Computer Science & Engineering Journal of Ambient Intelligence and Humanized Computing 2018 1868-5137 https://www.springer.com/journal/12652 https://link.springer.com/article/10.1007/s12652-018-0685-7 SCIE    
74
Morphological Segmentation Analysis and Texture-based Support Vector Machines Classification on Mice Liver Fibrosis Microscopic Images
Wang, Y., Shi, F., Cao, L., Dey, N., Wu, Q., Ashour, A. S., ... & Wu, L. (2019). Morphological segmentation analysis and texture-based support vector machines classification on mice liver fibrosis microscopic images. Current Bioinformatics, 14(4), 282-294. Computer Science & Engineering Current Bioinformatics 2019 1574-8936 https://benthamscience.com/public/journals/current-bioinformatics http://www.eurekaselect.com/article/97031 SCIE    
75 Texture Spectrum coupled with Entropy and Homogeneity Image Features for Myocardium Muscle Characterization Moraru, L., Moldovanu, S., Culea-Florescu, A. L., Bibicu, D., Dey, N., Ashour, A. S., & Sherratt, R. S. (2019). Texture spectrum coupled with entropy and homogeneity image features for myocardium muscle characterization. Current Bioinformatics, 14(4), 295-304. Computer Science & Engineering Current Bioinformatics 2019 1574-8936 https://benthamscience.com/public/journals/current-bioinformatics http://www.eurekaselect.com/article/95344 SCIE    
76 Solving Permutation Flow Shop Scheduling Problem by Rhinoceros Search Algorithm Deb, S., Tian, Z., Fong, S., Tang, R., Wong, R., & Dey, N. (2018). Solving permutation flow-shop scheduling problem by rhinoceros search algorithm. Soft Computing, 22(18), 6025-6034. Computer Science & Engineering Soft Computing 2018 14327643, 14337479 https://www.springer.com/journal/500 https://link.springer.com/article/10.1007/s00500-018-3075-3 SCIE    
77 Multifractal Analysis of Ceramic Pottery SEM Images in Cucuteni-Tripolye Culture Dănilă, Emilian, Luminita Moraru, Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Simon James Fong, Salam Khan, and Anjan Biswas. "Multifractal analysis of ceramic pottery SEM images in Cucuteni-Tripolye culture." Optik 164 (2018): 538-546. Computer Science & Engineering Optik - International Journal for Light and Electron Optics 2018 0030-4026 https://www.sciencedirect.com/journal/optik https://www.sciencedirect.com/science/article/abs/pii/S0030402618303905 SCIE    
78 A new hybrid classifier selection model based on mRMR method and diversity measures Cheriguene, S., Azizi, N., Dey, N., Ashour, A. S., & Ziani, A. (2019). A new hybrid classifier selection model based on mRMR method and diversity measures. International Journal of Machine Learning and Cybernetics, 10(5), 1189-1204. Computer Science & Engineering International Journal of Machine Learning and Cybernetics 2019 1868-8071 https://www.springer.com/journal/13042 https://link.springer.com/article/10.1007/s13042-018-0797-6 SCIE    
79 Evolutionary Framework for Coding Area Selection from Cancer Data Kamal, S., Dey, N., Nimmy, S. F., Ripon, S. H., Ali, N. Y., Ashour, A. S., ... & Shi, F. (2018). Evolutionary framework for coding area selection from cancer data. Neural Computing and Applications, 29(4), 1015-1037. Computer Science & Engineering Neural Computing and Applications 2018 1433-3058 https://www.springer.com/journal/521 https://link.springer.com/article/10.1007/s00521-016-2513-3 SCIE    
80 Image Features based Affective Retrieval employing Improved Parameter and Structure Identification of Adaptive Neuro Fuzzy Inference System Wang, D., He, T., Li, Z., Cao, L., Dey, N., Ashour, A. S., ... & Shi, F. (2018). Image feature-based affective retrieval employing improved parameter and structure identification of adaptive neuro-fuzzy inference system. Neural Computing and Applications, 29(4), 1087-1102. Computer Science & Engineering Neural Computing and Applications 2018 1433-3058 https://www.springer.com/journal/521 SCIE    
81 Developing Residential Wireless Sensor Networks for ECG Healthcare Monitoring Dey, N., Ashour, A. S., Shi, F., Fong, S. J., & Sherratt, R. S. (2017). Developing residential wireless sensor networks for ECG healthcare monitoring. IEEE Transactions on Consumer Electronics, 63(4), 442-449. Computer Science & Engineering IEEE Transactions on Consumer Electronics 2017 Print ISSN: 0098-3063. Electronic ISSN: 1558-4127 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=30
10.1109/TCE.2017.015063
https://ieeexplore.ieee.org/document/8246822 SCIE    
82 Quantitative diffusion tensor magnetic resonance imaging signal characteristics in the human brain: a hemispheres analysis Moraru, L., Moldovanu, S., Dimitrievici, L. T., Shi, F., Ashour, A. S., & Dey, N. (2017). Quantitative diffusion tensor magnetic resonance imaging signal characteristics in the human brain: a hemispheres analysis. IEEE Sensors Journal, 17(15), 4886-4893. Computer Science & Engineering IEEE Sensors Journal 2017 1530-437X https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361
10.1109/JSEN.2017.271470
https://ieeexplore.ieee.org/document/7946166 SCIE    
83 Optimization of Non-rigid Demons Registration using Cuckoo Search Algorithm Chakraborty, S., Dey, N., Samanta, S., Ashour, A. S., Barna, C., & Balas, M. M. (2017). Optimization of non-rigid demons registration using cuckoo search algorithm. Cognitive Computation, 9(6), 817-826. Computer Science & Engineering Cognitive Computation 2017 1866-9956 https://www.springer.com/journal/12559 https://link.springer.com/article/10.1007/s12559-017-9508-y SCIE    
84 Self-Organizing Mapping based Swarm Intelligence for Secondary and Tertiary Proteins Classification Kamal, M., Sarowar, M., Dey, N., Ashour, A. S., Ripon, S. H., Panigrahi, B. K., & Tavares, J. M. R. (2019). Self-organizing mapping based swarm intelligence for secondary and tertiary proteins classification. International Journal of Machine Learning and Cybernetics, 10(2), 229-252. Computer Science & Engineering International Journal of Machine Learning and Cybernetics 2019 1868-8071 https://www.springer.com/journal/13042 https://link.springer.com/article/10.1007/s13042-017-0710-8 SCIE    
85 Modified Cuckoo Search Algorithm in Microscopic Image Segmentation of Hippocampus Chakraborty, S., Chatterjee, S., Dey, N., Ashour, A. S., Ashour, A. S., Shi, F., & Mali, K. (2017). Modified cuckoo search algorithm in microscopic image segmentation of hippocampus. Microscopy Research and Technique, 80(10), 1051-1072. Computer Science & Engineering Microscopy research and technique 2017 1097-0029 https://analyticalsciencejournals.onlinelibrary.wiley.com/journal/10970029 10.1002/jemt.22900 https://pubmed.ncbi.nlm.nih.gov/28557041/ SCIE    
86 Advanced Topological Map-matching Algorithm based on D-S Theory Zhao, X., Cheng, X., Zhou, J., Xu, Z., Dey, N., Ashour, A. S., & Satapathy, S. C. (2018). Advanced topological map matching algorithm based on D–S theory. Arabian Journal for Science and Engineering, 43(8), 3863-3874. Computer Science & Engineering Arabian Journal for Science and Engineering 2018 2191-4281 https://www.springer.com/journal/13369 https://link.springer.com/article/10.1007/s13369-017-2569-0 SCIE    
87 A survey of the State-of-arts on Neutrosophic Sets in Biomedical Diagnoses Nguyen, G. N., Son, L. H., Ashour, A. S., & Dey, N. (2019). A survey of the state-of-the-arts on neutrosophic sets in biomedical diagnoses. International Journal of Machine Learning and Cybernetics, 10(1), 1-13. Computer Science & Engineering International Journal of Machine Learning and Cybernetics 2019 1868-8071 https://www.springer.com/journal/13042 https://link.springer.com/article/10.1007/s13042-017-0691-7 SCIE    
88 Performance Evaluation of Objective Functions in Automatic Generation Control of Thermal Power System Using Ant Colony Optimization Technique Designed Proportional-Integral-Derivative Controller Jagatheesan, K., Anand, B., Dey, K. N., Ashour, A. S., & Satapathy, S. C. (2018). Performance evaluation of objective functions in automatic generation control of thermal power system using ant colony optimization technique-designed proportional–integral–derivative controller. Electrical Engineering, 100(2), 895-911. Computer Science & Engineering Electrical Engineering 2018 0948-7921 (Print) 1432-0487 (Online) https://www.springer.com/journal/202 https://link.springer.com/article/10.1007/s00202-017-0555-x SCIE    
89 Application of data mining techniques and data analysis methods to measure cancer morbidity and mortality data in a regional cancer registry: The case of the island of Crete, Greece Varlamis, I., Apostolakis, I., Sifaki-Pistolla, D., Dey, N., Georgoulias, V., & Lionis, C. (2017). Application of data mining techniques and data analysis methods to measure cancer morbidity and mortality data in a regional cancer registry: The case of the island of Crete, Greece. Computer methods and programs in biomedicine, 145, 73-83. Computer Science & Engineering Computer methods and programs in biomedicine 2017 01692607, 18727565 https://www.sciencedirect.com/journal/computer-methods-and-programs-in-biomedicine https://www.sciencedirect.com/science/article/abs/pii/S0169260716309208 SCIE    
90 Structural Failure Classification for Reinforced Concrete Buildings Using Trained Neural Network based Multi-Objective Genetic Algorithm Chatterjee, S., Sarkar, S., Hore, S., Dey, N., Ashour, A. S., Shi, F., & Le, D. N. (2017). Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm. Structural Engineering and Mechanics, 63(4), 429-438. Computer Science & Engineering Structural Engineering and Mechanics 2017 1225-4568(pISSN) 1598-6217(eISSN) https://koreascience.kr/journal/KJKHB9.page https://www.researchgate.net/publication/315767272_Structural_Failure_Classification_for_Reinforced_Concrete_Buildings_Using_Trained_Neural_Network_based_Multi-_Objective_Genetic_Algorithm SCIE    
91 Hidden Markov Model and Chapman Kolmogrov for Protein Structures Prediction from Images Kamal, M. S., Chowdhury, L., Khan, M. I., Ashour, A. S., Tavares, J. M. R., & Dey, N. (2017). Hidden Markov model and Chapman Kolmogrov for protein structures prediction from images. Computational biology and chemistry, 68, 231-244. Computer Science & Engineering Computational biology and chemistry 2017 14769271 https://www.sciencedirect.com/journal/computational-biology-and-chemistry https://dl.acm.org/doi/abs/10.1016/j.compbiolchem.2017.04.003 SCIE    
92 Texture Analysis of Parasitology Liver Fibrosis Images Moraru, L., Moldovanu, S., Culea‐Florescu, A. L., Bibicu, D., Ashour, A. S., & Dey, N. (2017). Texture analysis of parasitological liver fibrosis images. Microscopy research and technique, 80(8), 862-869. Computer Science & Engineering Microscopy research and technique 2017 1097-0029 https://analyticalsciencejournals.onlinelibrary.wiley.com/journal/10970029 10.1002/jemt.22875 https://www.semanticscholar.org/paper/Texture-analysis-of-parasitological-liver-fibrosis-Moraru-Moldovanu/a58a939da76a9ee6fd46a69309288fa6ab1e7a02 SCIE    
93 Morphological segmenting and neighborhood pixels based Locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study Tian, Z., Dey, N., Ashour, A. S., McCauley, P., & Shi, F. (2018). Morphological segmenting and neighborhood pixel-based locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study. Neural Computing and Applications, 30(12), 3733-3748. Computer Science & Engineering Neural Computing and Applications 2018 1433-3058 https://www.springer.com/journal/521 https://link.springer.com/article/10.1007/s00521-017-2955-2 SCIE    
94 Computerized static posturography and laterality in children. Influence of age. Bourelle, S., Dey, N., Sifaki-Pistolla, D., Berge, B., Gautheron, V., Cottalorda, J., & Taiar, R. (2017). Computerized static posturography and laterality in children: influence of age. Acta of Bioengineering and Biomechanics, 19(2). Computer Science & Engineering Acta of bioengineering and biomechanics 2017 1509-409X https://www.actabio.pwr.wroc.pl/ https://pubmed.ncbi.nlm.nih.gov/28869624/ SCIE    
95 Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment Ikeda, N., Dey, N., Sharma, A., Gupta, A., Bose, S., Acharjee, S., ... & Suri, J. S. (2017). Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. Computer methods and programs in biomedicine, 141, 73-81. Computer Science & Engineering Computer methods and programs in biomedicine 2017 1692607, 18727565 https://www.sciencedirect.com/journal/computer-methods-and-programs-in-biomedicine https://www.sciencedirect.com/science/article/abs/pii/S0169260716308069 SCIE    
96 Discrete cuckoo search algorithms for two-sided robotic assembly line balancing problem Li, Z., Dey, N., Ashour, A. S., & Tang, Q. (2018). Discrete cuckoo search algorithms for two-sided robotic assembly line balancing problem. Neural Computing and Applications, 30(9), 2685-2696. Computer Science & Engineering Neural Computing and Applications 2018 1433-3058 https://www.springer.com/journal/521 https://dl.acm.org/doi/10.1007/s00521-017-2855-5 SCIE    
97 Nonparametric De-noising Filter Optimization using Structure-based Microscopic Image Classification Beagum, S., Dey, N., Ashour, A. S., Sifaki‐Pistolla, D., & Balas, V. E. (2017). Nonparametric de‐noising filter optimization using structure‐based microscopic image classification. Microscopy research and technique, 80(4), 419-429. Computer Science & Engineering Microscopy research and technique 2017 097-0029 https://analyticalsciencejournals.onlinelibrary.wiley.com/journal/10970029 10.1002/jemt.22811 https://pubmed.ncbi.nlm.nih.gov/27901295/ SCIE    
98 Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction Li, Z., Shi, K., Dey, N., Ashour, A. S., Wang, D., Balas, V. E., ... & Shi, F. (2017). Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction. Neural Computing and Applications, 28(3), 613-630. Computer Science & Engineering Neural Computing and Applications 2017 1433-3058 https://www.springer.com/journal/521 https://www.researchgate.net/publication/309611377_Rule-based_back_propagation_neural_networks_for_various_precision_rough_set_presented_KANSEI_knowledge_prediction_a_case_study_on_shoe_product_form_features_extraction SCIE    
99 Influence of Organic Manure and Lime on Cadmium Mobility in Soil and Uptake by Spinach (Spinaciaoleracea L.) Kumarpandit, T., Kumarnaik, S., Patra, P. K., Dey, N., Patra, P. K., & Das, D. K. (2017). Influence of organic manure and lime on cadmium mobility in soil and uptake by spinach (Spinacia oleracea L.). Communications in soil science and plant analysis, 48(4), 357-369. Computer Science & Engineering Communications in Soil Science and Plant Analysis 2017 1532-2416 https://www.tandfonline.com/journals/lcss20 https://www.tandfonline.com/doi/abs/10.1080/00103624.2016.1261886 SCIE    
100 Effect of Fuzzy Partitioning in Crohn’s Disease Classification: A Neuro-fuzzy based Approach Ahmed, S., Dey, N., Ashour, A. S., Sifaki-Pistolla, D., Bălas-Timar, D., Balas, V. E., & Tavares, J. M. R. (2017). Effect of fuzzy partitioning in Crohn’s disease classification: a neuro-fuzzy-based approach. Medical & biological engineering & computing, 55(1), 101-115. Computer Science & Engineering Medical & biological engineering & computing 2017 0140-0118 (print); 1741-0444 (web) https://www.springer.com/journal/11517 https://pubmed.ncbi.nlm.nih.gov/27106754/ SCIE    
101 Application of Flower Pollination Algorithm in Load Frequency Control of Multi-area Interconnected Power System with Non-linearity Jagatheesan, K., Anand, B., Samanta, S., Dey, N., Santhi, V., Ashour, A. S., & Balas, V. E. (2017). Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity. Neural Computing and Applications, 28(1), 475-488. Computer Science & Engineering Neural Computing and Applications 2017 1433-3058 https://www.springer.com/journal/521 https://link.springer.com/article/10.1007/s00521-016-2361-1 SCIE    
102 Optimization of 5.5 GHz CMOS LNA Parameters using Firefly Algorithm Kumar, R., Rajan, A., Talukdar, F. A., Dey, N., Santhi, V., & Balas, V. E. (2017). Optimization of 5.5-GHz CMOS LNA parameters using firefly algorithm. Neural Computing and Applications, 28(12), 3765-3779. Computer Science & Engineering Neural Computing and Applications 2017 1433-3058 https://www.springer.com/journal/521 https://link.springer.com/article/10.1007/s00521-016-2267-y https://link.springer.com/article/10.1007/s00521-016-2267-y SCIE    
103 Link Prediction in Co-authorship Networks based on Hybrid Content Similarity Metric Chuan, Pham Minh, Le Hoang Son, Mumtaz Ali, Tran Dinh Khang, Le Thanh Huong, and Nilanjan Dey. "Link prediction in co-authorship networks based on hybrid content similarity metric." Applied Intelligence 48, no. 8 (2018): 2470-2486. Computer Science & Engineering Applied Intelligence 2018 0924669X, 15737497 https://www.springer.com/journal/10489 https://link.springer.com/article/10.1007/s10489-017-1086-x SCIE    
104 Optimal Choice of k-mer in Composition Vector Method for Genome Sequence Comparison Das, Subhram, Tamal Deb, Nilanjan Dey, Amira S. Ashour, D. K. Bhattacharya, and D. N. Tibarewala. "Optimal choice of k-mer in composition vector method for genome sequence comparison." Genomics 110, no. 5 (2018): 263-273. Computer Science & Engineering Genomics 2018 0888-7543 https://www.sciencedirect.com/journal/genomics https://www.sciencedirect.com/science/article/pii/S0888754317301453#:~:text=Generally%2C%20composition%20vector%20methods%20using,of%20k%2C%20results%20are%20unsatisfactory. SCIE    
105 Medical cyber-physical systems: A survey Dey, N., Ashour, A. S., Shi, F., Fong, S. J., & Tavares, J. M. R. (2018). Medical cyber-physical systems: A survey. Journal of medical systems, 42(4), 1-13. Computer Science & Engineering Journal of medical systems 2018 01485598, 1573689X https://www.springer.com/journal/10916 https://link.springer.com/article/10.1007/s10916-018-0921-x SCIE    
106 An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model. Rajinikanth, V., Dey, N., Satapathy, S. C., & Ashour, A. S. (2018). An approach to examine magnetic resonance angiography based on Tsallis entropy and deformable snake model. Future Generation Computer Systems, 85, 160-172. Computer Science & Engineering Future Generation Computer Systems 2018 0167-739X https://www.sciencedirect.com/journal/future-generation-computer-systems https://www.sciencedirect.com/science/article/abs/pii/S0167739X17322537 SCIE    
107 Clinical application of modified Bag-of-Features coupled Hybrid Neural based classifier in Dengue Fever Classification using Gene Expression Data Chatterjee, S., Dey, N., Shi, F., Ashour, A. S., Fong, S. J., & Sen, S. (2018). Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data. Medical & biological engineering & computing, 56(4), 709-720. Computer Science & Engineering Medical & biological engineering & computing 2018 0140-0118 (print); 1741-0444 (web) https://www.springer.com/journal/11517 https://pubmed.ncbi.nlm.nih.gov/28891000/ SCIE    
108 Dental Diagnosis from X-Ray Images: An Expert System based on Fuzzy Computing Tuan, T. M., Fujita, H., Dey, N., Ashour, A. S., Ngoc, V. T. N., & Chu, D. T. (2018). Dental diagnosis from X-ray images: an expert system based on fuzzy computing. Biomedical Signal Processing and Control, 39, 64-73. Computer Science & Engineering Neural Computing and Applications 2018 1746-8094 https://www.sciencedirect.com/journal/biomedical-signal-processing-and-control https://www.sciencedirect.com/science/article/abs/pii/S1746809417301374 SCIE    
109 Light Microscopy Image De-noising using Optimized LPA-ICI Filter Ashour, A. S., Beagum, S., Dey, N., Ashour, A. S., Pistolla, D. S., Nguyen, G. N., ... & Shi, F. (2018). Light microscopy image de-noising using optimized LPA-ICI filter. Neural Computing and Applications, 29(12), 1517-1533. Computer Science & Engineering Neural Computing and Applications 2018 1433-3058 https://www.springer.com/journal/521 https://link.springer.com/article/10.1007/s00521-016-2678-9      
110
Augmenting video lectures: Identifying off-topic concepts and linking to relevant video lecture segments
Krishnendu Ghosh, Sharmila Reddy Nangi, Yashasvi Kanchugantla, Pavan Gopal Rayapati, Plaban Kumar Bhowmick, Pawan Goyal
Computer Science & Engineering
International Journal of Artificial Intelligence in Education
2022 1560-4306 https://link.springer.com/journal/40593 https://doi.org/10.1007/s40593-021-00257-z https://link.springer.com/article/10.1007/s40593-021-00257-z
Web of Science
NO  
111
Remediating textbook deficiencies by leveraging community question answers
Krishnendu Ghosh Computer Science & Engineering
Education and Information Technologies
2022 1573-7608 / 1360-2357 https://www.springer.com/journal/10639 https://doi.org/10.1007/s10639-022-10937-5 https://link.springer.com/article/10.1007/s10639-022-10937-5
Web of Science
NO  
112 Mobility Management in 5G and Beyond: A Novel Smart Handover with Adaptive Time-to-Trigger and Hysteresis Margin Raja Karmakar, Georges Kaddoum, and Samiran Chattopadhyay Computer Science & Engineering IEEE Transactions on Mobile Computing 2022 1536-1233 https://ieeexplore.ieee.org/document/9813555 https://ieeexplore.ieee.org/document/9813555
Web of Science
NO  
113 A Survey of VANET/V2X Routing from the Perspective of Non-Learning- and Learning-Based Approaches Twinkle Chatterjee, Raja Karmakar, Georges Kaddoum, Samiran Chattopadhyay, and Sandip Chakraborty Computer Science & Engineering IEEE Access 2022 2169-3536 https://ieeeaccess.ieee.org/ https://ieeexplore.ieee.org/document/9716935
Web of Science
NO  
114 IBAC: An Intelligent Dynamic Bandwidth Channel Access Avoiding Outside Warning Range Problem
Raja Karmakar, and Georges Kaddoum
Computer Science & Engineering IEEE Transactions on Mobile Computing 2022 1536-1233 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7755 https://ieeexplore.ieee.org/document/9672700
Web of Science
NO  
115 A Deep Probabilistic Control Machinery for Auto-Configuration of WiFi Link Parameters Raja Karmakar, Samiran Chattopadhyay, and Sandip Chakraborty Computer Science & Engineering IEEE Transactions on Wireless Communications 2020 1536-1276 https://www.comsoc.org/publications/journals/ieee-twc https://ieeexplore.ieee.org/document/9195162
Web of Science
NO  
116 Intelligent MU-MIMO User Selection with Dynamic Link Adaptation in IEEE 802.11ax Raja Karmakar, Samiran Chattopadhyay, and Sandip Chakraborty Computer Science & Engineering IEEE Transactions on Wireless Communications 2019 1536-1276 https://www.comsoc.org/publications/journals/ieee-twc https://ieeexplore.ieee.org/document/8604010
Web of Science
NO  
117 An Online Learning Approach for Auto Link-Configuration in IEEE 802.11ac Wireless Networks Raja Karmakar, Samiran Chattopadhyay, and Sandip Chakraborty Computer Science & Engineering
Computer Networks, Elsevier
2020 1389-1286 https://www.sciencedirect.com/journal/computer-networks https://www.sciencedirect.com/science/article/abs/pii/S1389128620311154
Web of Science
NO  
118 Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak Nabanita Das, Bikash
Sadhukhan
, Tanusree
Chatterjee
& Satyajit
Chakrabarti
Computer Science & Engineering Social Network Analysis and Mining, Springer Link 2022 18695450, 18695469 https://www.springer.com/journal/13278 https://link.springer.com/article/10.1007/s13278-022-00919-3 ESCI NO  
119
A Study and Comparison of Deep Learning based Potato Leaf Disease Detection and Classification Techniques using Explainable AI
Hrithik Pal, Sayani Ghatak, Sanjay Chakraborty, Saroj Kumar Pandey, Saikat Maity, Debashis Show, Lopamudra Dey Computer Science & Engineering Multimedia Tools and Applications 2023 13807501, 15737721 https://link.springer.com/article/10.1007/s11042-023-17235-3 10.1007/s11042-023-17235-3 https://link.springer.com/article/10.1007/s11042-023-17235-3 Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
120 A Comprehensive Examination of Phoneme Recognition in Automatic Speech Recognition Systems Shobha Bhatt, Shweta Bansal, Ankit Kumar, Saroj Kumar Pandey, Kamred Udam Singh, Sanjay Chakraborty, Teekam Singh, Chetan Swarup Computer Science & Engineering Traitement du Signal Journal (IF-1.9) 2023 0765-0019 (print); 1958-5608 (online) https://www.iieta.org/Journals/TS https://doi.org/10.18280/ts.400518 https://www.iieta.org/journals/ts/paper/10.18280/ts.400518 Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
121 Market-Based Stock Allocation Using a Hybrid Regression Model Sanjay Chakraborty, Animesh Kairi, Nilanjana Dutta Roy, Saikat Maity, Saroj Kumar Pandey, Indrajit De Computer Science & Engineering SN Computer Science 2023 2661-8907 https://www.springer.com/journal/42979 https://doi.org/10.1007/s42979-023-01883-1 https://link.springer.com/article/10.1007/s42979-023-01883-1 Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
122 Cricket Data Analytics: Forecasting T20 Match Winners through Machine Learning Sanjay Chakraborty, Arnab Mondal, Aritra Bhattacharjee, Ankush Mallick, Riju Santra, Saikat Maity, Lopamudra Dey Computer Science & Engineering Journal of Knowledge-based and Intelligent Engineering Systems 2023 1875-8827 https://www.iospress.com/catalog/journals/international-journal-of-knowledge-based-and-intelligent-engineering-systems   https://www.iospress.com/catalog/journals/international-journal-of-knowledge-based-and-intelligent-engineering-systems Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
123 Type-n Fuzzy Logic – The next level of Type-1 and Type-2 Fuzzy Logic Saikat Maity, Sanjay Chakraborty, Saroj Kumar Pandey, Indrajit De, Sourashsis Nath Computer Science & Engineering International Journal of Intelligent Engineering Informatics 2023 1758-8723 https://www.inderscience.com/jhome.php?jcode=ijiei   https://www.inderscience.com/jhome.php?jcode=ijiei Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
124 Automatic Arrhythmias Recognition Using Support Vector Machines based on Characteristics of QRS Complex of ECG Signal Ankit Kumar, Manoj Kumar Ojha, Saroj Kuma Pandey, Kamred Udam Singh, Sanjay Chakraborty, Teekam Singh, Chetan Swarup Computer Science & Engineering Traitement du Signal Journal 2023 0765-0019 (print); 1958-5608 (online) https://www.iieta.org/Journals/TS   https://www.iieta.org/journals/ts/paper/10.18280/ts.400518 Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
125 An AI-Based Medical Chatbot Model for Infectious Disease Prediction Sanjay Chakraborty, Hrithik Pal, Sayani Ghatak, Saroj Kumar Pandey, Amit Kumar, Kamred Udham Singh, Mohd Asif Shah Computer Science & Engineering IEEE ACCESS 2022 2169-3536 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 10.1109/ACCESS.2022.3227208 https://ieeexplore.ieee.org/abstract/document/9970731 Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
126 Up-Regulated Proteins Have More Protein–Protein Interactions than Down-Regulated Proteins Lopamudra Dey, Sanjay Chakraborty, Saroj Kumar Pandey Computer Science & Engineering The Protein Journal 2022 1875-8355 https://link.springer.com/journal/10930 https://link.springer.com/article/10.1007/s10930-022-10081-6 Yes No  
127 Market-Based Stock Allocation Using a Hybrid Regression Model Sanjay Chakraborty, Animesh Kairi, Nilanjana Dutta Roy, Saikat Maity, Saroj Kumar Pandey, Indrajit De Computer Science & Engineering SN Computer Science 2023 2661-8907 https://www.springer.com/journal/42979 https://doi.org/10.1007/s42979-023-01883-1 https://link.springer.com/article/10.1007/s42979-023-01883-1 Yes No https://drive.google.com/drive/folders/1qS57DYo_JTTGZppeZnjzjYoMBX6C5NTW
128 Visualizing wearable medical device research trends: a co-occurrence network based bibliometric analysis Bitan. Misra, Nilanjana Dutta Roy, Nilanjan Dey, S. Sherratt Computer Science & Engineering Galician Medical Journal. 2023 2414-1518 https://doi.org/10.21802/gmj.2023.3.2 Yes No https://drive.google.com/file/d/1Uj9mkKT-wo3Y-Lcj8Yz1NJhuUI7fX6BI/view?usp=drive_link
129
Grey wolf optimization algorithm-based PID controller for frequency stabilization of interconnected power generating system.
Jagatheesan, K., Boopathi, D., Samanta, S., Anand, B., & Dey, N. Computer Science & Engineering Soft Computing 2023 1433-7479 https://link.springer.com/journal/500 https://doi.org/10.1007/s00500-023-09213-6 https://link.springer.com/article/10.1007/s00500-023-09213-6 Yes No  
130 Cross-lingual deep learning model for gender-based emotion detection Bhattacharya, S., Mishra, B. K., Borah, S., Das, N., & Dey, N. Computer Science & Engineering Multimedia Tools and Applications 2023 1573-7721 https://link.springer.com/journal/11042 https://link.springer.com/article/10.1007/s11042-023-16304-x Yes No  
131 Predicting the magnitude of an impending earthquake using deep learning techniques Bikash Sadhukhan, Shayak Chakraborty, Somenath Mukherjee Computer Science & Engineering Earth Science Informatics 2022 Online ISSN: 1865-0481
Print ISSN: 1865-0473
https://link.springer.com/journal/12145 https://doi.org/10.1007/s12145-022-00916-2 https://link.springer.com/article/10.1007/s12145-022-00916-2 Yes No  
132
Explainable AI to understand study interest of engineering students.
Ghosh, S., Kamal, M. S., Chowdhury, L., Neogi, B., Dey, N., & Sherratt, R. S. Computer Science & Engineering Education and Information Technologies 2023 1573-7608 https://link.springer.com/journal/10639 https://link.springer.com/article/10.1007/s10639-023-11943-x Yes No  
133 A non-linear multi-objective technique for hybrid peer-to-peer communication. Das, S. K., Dey, N., Crespo, R. G., & Herrera-Viedma, E. Computer Science & Engineering Information Sciences 2023 0020-0255 https://www.sciencedirect.com/journal/information-sciences https://doi.org/10.1016/j.ins.2023.01.117 https://www.sciencedirect.com/science/article/pii/S0020025523001305 Yes No  
134 Climatic and seismic data-driven deep learning model for earthquake magnitude prediction Bikash Sadhukhan, Shayak Chakraborty, Somenath Mukherjee, Raj Kumar Samanta Computer Science & Engineering Frontiers in Earth Science 2023
Online ISSN: 2296-6463
https://www.frontiersin.org/journals/earth-science https://doi.org/10.3389/feart.2023.1082832 https://www.frontiersin.org/articles/10.3389/feart.2023.1082832/full Yes No  

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