ICCIC is a forum of scientists, researchers, researchers, civic bodies to discuss and exchange experimental or theoretical results, novel designs, work-in-progress, experiences, case studies, and trend-setting ideas in the area of smart city, intelligent computing, cognition, cyberphysical systems, and related areas.
Original contributions from researchers describing their unpublished research work pertaining to IOT, Smart city and Applications of Machine Learning (ML) Techniques to address real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of expert systems, and manuscripts describing development of new analytical frameworks that advance practical machine learning methods are especially encouraged.
The technical program will consist of, but is not limited to, the following topics of interest:
Machine Learning in Control Applications
Soft Computing
Neural Networks based control systems
Pattern Recognition
Decision support systems
Text analytics and NLP
Statistical Learning
Neural Network Learning
Learning Through Fuzzy Logic
Learning Through Evolution (Evolutionary Algorithms)
Reinforcement Learning
Multi-Strategy Learning
Cooperative Learning
Planning And Learning
Multi-Agent Learning
Online And Incremental Learning
Scalability Of Learning Algorithms
Inductive Learning
Inductive Logic Programming
Bayesian Networks
Support Vector Machines
Case-Based Reasoning
Machine Learning For Bioinformatics and Computational Biology
Multi-Lingual Knowledge Acquisition and Representation
Grammatical Inference
Knowledge Acquisition and Learning
Knowledge Discovery In Databases
Knowledge Intensive Learning
Knowledge Representation and Reasoning
Machine Learning and Information Retrieval
Machine Learning For Web Navigation and Mining
Learning Through Mobile Data Mining
Text And Multimedia Mining Through Machine Learning
Distributed And Parallel Learning Algorithms and Applications
Feature Extraction and Classification
Theories And Models for Plausible Reasoning
Computational Learning Theory
Cognitive Modelling
Hybrid Learning Algorithms
Smart Grids
Smart Agriculture & Farming
Smart Cities
Security threats in Smart Cities
Smart and sustainable transport system
Smart healthcare system
Innovative agriculture process
Future challenges in smart cities
IoT Protocols And Transports
Security for IoT
Wearable Devices,
IoT Architectures & Protocol
IoT’s Impact on 5G
IoT System Architecture
IoT Enabling Technologies
Social Acceptance of IoT Systems
Web Intelligence and Computing
Swarm Intelligence
Mobile Computing
Sensor Networks and Social Sensing
Wireless Mesh Networks
Wireless Networks Management
Wireless Protocols and Architectures
Multi-Agent Systems
Human-Computer Interaction
Data Mining and Knowledge Discovery
Knowledge Management and Networks
Data Intensive Computing Architecture
Resource Management and Scheduling
Intelligent E-Learning Systems
Smart Environments and Applications
Genetic Algorithms
Evolutionary Computation
Intelligent Control
Optimization
Nonlinear System and Control
System Theory and Control Theory
Video and Image Processing
Internet Security
Big Data
Cellular Networks
Social Networks & E-Commerce
Computer and Network Forensics
Data and Network Outsourcing Services
Cloud and Edge Computing
Routing and Network Management
Cyber Deterrence Strategies
Mobile and Wearable Devices
Social, Economic, and Policy Issues of Trust, Security, and Privacy
Applications of IOT, Smart City & Machine learning in:
Medicine, Health, Bioinformatics and Systems Biology
Industrial and Engineering Applications
Security Applications
Smart Cities
Game Playing and Problem Solving
Intelligent Virtual Environments
Economics, Business And Forecasting Applications, etc.