Original Contributions from researchers describing their unpublished research work pertaining to IOT, Smart city and Applications of Machine Learning (ML) Techniques to address real-world problems, interdisciplinary research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 of 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
  • A 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.
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Authors are required to adhere to the Publishers Policy and Procedures on Similarity as mentioned in the notification email. Papers exceeding the similarity of Overall > 15% Similarity and >=2% from single source be outrightly rejected.

The conference will include a number of interesting keynote plenary talks, which will be announced on the speaker’s page of the conference web site.

Publishing Information

All accepted papers will be submitted for publication to Springer (Lecture Notes in Networks and Systems) and made available through SpringerLink Digital Library, one of the world’s largest scientific libraries. Proceedings will be submitted for inclusion to the leading indexing services: Scopus, DBLP, E–Compendex, Google Scholar and major indexing services for inclusion. 

Microsoft CMT Paper Submission Link:-  https://cmt3.research.microsoft.com/ICMISC2024