CICom 2021 - EAI International Conference on Computational Intelligence and Communications

Track 1: Computational Intelligence in Automation, Control, and Intelligent Transportation System
-Intelligent Decision Making and Support
-Adaptive and Optimal Control
-Model-Predictive Control
-Fuzzy Systems and Control
-Fuzzy Neural Systems and Control
-Hybrid Intelligent Control
-Object recognitions, traffic sign detection and recognition
-Multimodal intelligent transport systems & services
-Vehicle communications and connectivity
-Driver and traveller support systems
-Simulation and forecasting models
-Driver assistance and automation systems
-Driver state detection and monitoring
Track 2: Computational Intelligence on Big Data, Internet of Things, and Smart Cities
Efficient algorithms on processing and analysis of big data
-Extracting and understanding from distributed, diverse and large-scale data resources
-Visualisation of big data and visual data analytics
-Human-computer interaction and collaboration in big data
-Classification, Clustering, Regression
-Data mining from nonstationary and drifting environments
-Novel Architecture and Protocols of AI Integrated with IoT
-Security, Privacy, Access Control, & Trust Frameworks of IoT
-Resource Management Techniques of Using AI for IoT
-Control Schemes in IoT Smart Data Storage in IoT
Track 3: Computational Intelligence on Wireless Communication Systems and Cyber Security
Machine Learning for Networks
-Unmanned Aerial Vehicles
-Wireless Sensor Networks
-Network Virtualization
-Software Defined Networks
-Blockchain and its security
-Waveforms and Radio Access Technologies
-Software Defined Radio
-Visible Light Communication (VLC)
-Radio Access Networks
-Intrusion/malware detection, prediction, and classification
-Sensor network security, web security, wireless and 4G, 5G media security
-Self-awareness, auto-defensiveness, self-reconfiguration, and self-healing networking paradigm
-Modelling adversarial behaviour for threat detection
-Cloud and virtualization security
Track 4: Computational Intelligence on Human/Brain-omputer Interfaces & Image and Pattern Recognition
-Signal processing for Brain-Computer Interface (BCI)
-BCI Feature Extraction, Pattern Recognition, and Multiple modalities for BCI
-Invasive and non-invasive BCIs.
-Online and offline BCI applications
-Advances on Human-Computer Interfaces
-Feature ranking and weighting
-Feature selection, extraction, construction, and reduction
-Feature analysis on high-dimensional and large-scale data
-Evolutionary computation for feature analysis
-Information theory, statistics, mathematical modelling, etc., for feature analysis
-Feature analysis in classification, clustering, regression, image analysis, and other tasks
-Real-world applications of computational intelligence for feature analysis