Call For Papers
ICDAI invites Industry Professionals/ Academicians/ Researchers for submitting their original, previously unpublished and high quality research papers. The conference will be focused on addressing research challenges in the field of "Wireless and Sensor Communication Systems", "Big Data Analytics and Insights", "Biological and Biomedical Data Analysis and Insights", "Optimization Techniques", "Time Series Analysis and Forecasting", "Power and Energy Systems Data Analytics and Insights", "Civil and Environmental Data Analytics and Insights", and "Industry and Applications", but not limited to the following:
Wireless and Mobile Communication
Sensor and Ad-hoc Networks
Vehicular Networks
Network Virtualization
Software-Defined Networking
5G and beyond Networks
Energy Efficiency in Networks
Optical Networks
Wearable Computing and Body Area Networks
Internet of Things (IoT)
Cloud/Fog/Edge Computing
Cyber-Physical Systems
Connected Unmanned Aerial/Terrestrial/Underwater Systems
Green Communications
Social Computing and Networks
Human-Computer Interactions
Localization and Location-based Services
Mobile Sensing and Applications
Collaborative Sensor Data Management
Pervasive Computing
Smart Grid Applications
Multimedia Data Applications
Visual Sensor Information Processing
Distributed Systems
Network Security and Privacy
Information Security and Privacy
Big Data Analytics, Indexing and User Interfaces
Big Data Analytics: algorithms, techniques, and systems
Big Data Quality and Provenance Control
Big Data Searching and Discovery
Big Data Management in Mobile Applications
Big Data Application, design and deployment
Integration of data warehousing, OLAP and data mining
Integrating constraints and knowledge in the KDD process
Exploring data analysis, inference of causes, prediction
Evaluating, consolidating, and explaining discovered knowledge
Data mining techniques: clustering, classification, association rules, decision trees
Knowledge discovery framework and process, including pre- and post-processing
Data Mining Trends, Opportunities and Risks
Data Mining from low-quality information sources
Bionic Equipment and Control Engineering
Bioinformatics and Neuroscience
Biomedical Engineering
Medical Robotics
Medical Imaging
Medical Science and Life Science
Microscopy and Histology Image Analysis
Molecular Biology
Surgical Visualization and Augmented Reality
Visualization in Biomedical Imaging
Real-time health monitoring
Health care management
Telemedicine
Computational Biology
Business Analytics and Decision Sciences
Business Financing and Investments
Computational Decision Science
Computing, Informatics, and Decision Systems Engineering
Operations Research
Computational Modeling and analysis
Statistical Techniques for Data analysis
Soft Computing
Evolutionary Computing
Predictive Analysis
Nature Inspired Computing
Supply chain management
Control Theory
Machine Learning Model for Stock Market Prediction
Wireless signal strength prediction
Digital fault prediction for real-time systems
Error rate prediction for real time streaming systems
Weather prediction model
5G wireless channel prediction model
Cognitive radio spectrum evolution prediction
Reject ratio prediction for VLSI circuits
Neural Network Control Systems
Data analytics for renewable energy sources
Smart grid applications of data analytics
Data analytics for power generation, transmission, and distribution
SCADA/DCS data analytics
Fault detection, classification, location, and diagnosis
Power quality detection
Power system state estimation
Load forecasting, wind power forecasting, and PV power forecasting
Smart grid cyber security
Customer profiling and smart billing
Parallel and distributed data analytics for renewable energy integration
Big data and cloud-based analytics for renewable energy integration
Big data management, transformation, and presentation
Visual analytics processes and workflows
Simulation for visual analytics
Computational business modeling
Computational Mechanics and Fluid Dynamics
Machinability of Materials
Change in ecosystem through remote sensing and GIS
Study of climate change impacts
Predictive analytics for architectural space planning
Seismic monitoring using real time data and its control
Structural Health monitoring and life cycle analysis
Data driven design in structural analysis
Smart facilities and infrastructural system
Air quality management
Structural reliability
Scientific examination and critic reviews on climate change
Big Data Deployment Industrial Experiences
Data Analytics in scientific, government, healthcare, bioinformatics Applications
Data Analytics in E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications Applications
Big Data and Business Process Intelligence
Big Data in Enterprise Management Models and Practices
Big Data Applications in Smart City
Data Analytics and IoT in Smart City Applications
Industrial Automation
State Estimation of Industrial System
Electric Vehicle
Autonomous Vehicle
Energy Management of Smart Grid
Energy Management of EV Charging stations
Submit your manuscript here: https://cmt3.research.
Instructions for Authors
All submissions will be handled electronically using Microsoft (CMT) via the conference website. Authors are hereby instructed not to submit any paper via email directly. By submitting a paper, the authors agree to the policies stipulated on this website.
Log on to Microsoft (CMT) using the link given below for submitting your paper to ICDAI-2024: https://cmt3.research.
It is the primary author’s responsibility to add the details of all authors (e.g., co-authors) of the paper in the Microsoft (CMT) website so that import updates about your papers can be sent to them.
The paper must be submitted on or before the last date of paper submission. After this deadline, you will not be able to register new papers, but you will be able to edit the information on existing papers.
While submitting the paper you must include at least one primary area to which your paper belongs.
Once you submit your paper, you will be assigned a unique paper ID. Please remember this paper ID and quote that ID in all further communications.
Submission Guideline
Paper length should be within 12 pages in the Springer AISC one-column format. All submissions are required to follow the Springer stipulations and are subject to screening for plagiarism by iThenticate®. Double blind review system will be followed, and each paper will be reviewed by at least three reviewers.
Manuscripts must be anonymous during submission.
Formatting Guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Important Dates
| Full-length paper submission deadline | |
| Notification of acceptance | May 15th, 2024 |
| Camera-ready submission deadline (Deadline for revised papers) | June 20th, 2024 |
| Registration deadline | June 30th, 2024 |
| Conference Dates | July 25-27, 2024 |
Registration
Author(s) Registration:
| Registration Fee (inclusive of GST) | ||||
| Author(s) | Students & Research Scholar | Academic/Govt. R&D Organizations | Industry | Participant |
| from India | 6000 INR | 7000 INR | 8000 INR | 1000 INR |
| Abroad | 75 USD | 100 USD | 150 USD | 50 USD |
Details for online payment for the listener registration:
Account Number: 319010100260244
IFSC Code: UTIB0000319
Account Name: TECHNO INDIA COLLEGE OF TECHNOLOGY
Bank Name: AXIS BANK
Branch Address: ELECTRONIC COMPLEX, KOLKATA-700091
Bank City: KOLKATA
Bank Country: INDIA
|
All accepted papers will be published in the Springer Nature LNNS Book Series! (SCOPUS indexed). |