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Welcome to ICICC 2024
CALL FOR PAPERS
Track 1: Artificial Intelligence in Healthcare
Data Mining and Knowledge Discovery in Healthcare
Machine Learning and Deep Learning Approaches for Health Data
A.I models for Health, Biology, and Medicine
Regression and Forecasting for Medical and Biomedical Signals
Medical Signal and Image Processing Techniques
Diagnosis and Theory Support Systems
Applications of A.I in Healthcare Systems
Neural networks in Medicine
A.I. for Healthcare Social Networks
Healthcare Devices and Circuits for Artificial Intelligence
Track 2: Machine Learning and Artificial Intelligence for Internet of Things
Machine Learning for Control, Planning, and Slicing of 5G Networks
Machine Learning for Signal Intelligence in IoT
Experimental Data Collection Campaigns to Create Artificial Intelligence datasets for 5G
Artificial Intelligence for Wireless sensing operations using IoT waveforms
Machine Learning for next-generation MIMO networking in 5G
Experimental Evaluation of Artificial Intelligence Techniques for IoT
Machine Learning for 5G networks
Machine Learning for Open Radio Access Network Beyond 5G Control
Artificial Intelligence for reconfigurable reflecting surfaces for IoT
Artificial Intelligence for next-generation MIMO networking in IoT
Machine Learning based Channel modeling for 5G
Track 3: High-Speed Networking
Concepts, methodologies, and solutions for modeling, managing, mining, and understanding computer networks
Algorithmic accountability and explainable algorithms for network services and applications
Ethical issues of data collection, storage, and exchange in network security and privacy
Machine learning empowered the internet of things
Artificial intelligence solutions to mobile and edge computing
Machine learning algorithms to support green networking
Machine learning approaches to QoE monitoring of encrypted video traffic
Reinforcement learning enables autonomous computer network operation
Artificial intelligent, human-centric, and human-driven computer networks
Track 4: Wireless networks with performance evaluation, 5G and Beyond
Transmission reliability evaluation for wireless sensor networks
Simulation tools for wireless network performance evaluation
Improving wireless sensor network survivability using human-inspired deep learning
Reliability and dependability of mobile and wireless communication networks
Reliable machine-to-machine communication for future networks
Energy-efficient real-time wireless networks
Safety, security and privacy for network survivability
Wireless sensor networks for Industrial applications
Reliability of software-defined wireless sensor networks
Survivability techniques for IoT
Submit your paper
Contact Us
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Dr. G. Rosline Nesa Kumari
Professor, CSE
BIHER,
Conference Chair, ICICC 2024.
call
+91 8500455203
mail
icicc2024@bharathuniv.ac.in
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