ICISC 2023 9 views

With the continuous increase in data availability, the computing and storage capacity of Information and Communication Technology [ICT] systems are rapidly expanding, and the technological innovations such as Artificial Intelligence [AI], deep learning, machine learning and intelligent control are beginning to have a huge impact in different research and engineering domains. Ranging from smart industries to healthcare, these technologies have the potential to alter many aspects of our society. However, numerous obstacles remain, ranging from dealing with data quality and size limitations, which are restricting the widespread adoption of scalable and robust solutions. This 7th International Conference on Inventive Systems and Control [ICISC 2023] invites novel and unpublished research contributions that address the existing challenges and/or showcase the state-of-the-art real-world applications and enabling innovative technological advancements of Artificial Intelligence [AI], Machine Learning, Deep Learning and Intelligent Control.

CALL FOR PAPERS

Novel research and/or review papers on the state-of-the-art and visionary research contributions that present new innovative perspectives, ideas, conceptual and empirical contributions with potential impact in the future are invited to this conference.

We particularly invite novel contributions that are based on (but not limited to) the following topics as they pertain to intelligent data processing techniques, intelligent control, and optimisation of smart and dynamic systems.

Track – 1: Intelligent Systems

  • Robust Machine Learning Approaches
  • Computer Vision
  • Soft Computing Techniques
  • Human-Centred Artificial Intelligence
  • Deep Learning: Prediction, Representation & Visualization
  • Natural language processing
  • Cognitive architectures
  • Artificial Intelligence for IoT Systems
  • Explainable Artificial Intelligence and Intelligent Systems
  • Cyber-Physical System with Artificial Intelligence
  • Hybrid Fuzzy Systems
  • Intelligent Agents and Multi-Agent Systems
  • Complex Industrial Intelligent Systems
  • Trusted and Dependable Intelligent Systems

Track – 2: Control Techniques

  • Robotics, navigation and control
  • Network Intelligence and Network Control
  • Intelligent fault detection and fault-tolerant control
  • learning and adaptive control
  • Complex system modeling, optimization and control
  • Intelligent control applications
  • intelligent automation and decision support systems
  • Fuzzy and Neural Networks Based Control Systems
  • Intelligent Vehicle Control
  • Learning and Adaptive Control Systems
  • Hybrid Intelligent Systems and Control
  • Embedded Control Systems
  • Machine Learning in Control Applications
  • Software Agents for Intelligent Control Systems

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