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ICICCS 2027: International Conference on Intelligent Computing and Control Systems

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Submission Date:
2026-12-26 Due in 137 days
Notification Date:
2027-01-28
Conference Date:
2027-03-22
Location:
Machangolhi, Maldives
Years:
Viewed: 15366   Tracked: 2   Attend: 0

Call For Papers

ICICCS 2027 (International Conference on Intelligent Computing and Control Systems) is an academic conference held in Machangolhi, Maldives on 2027-03-22. The paper submission deadline is 2026-12-26. Acceptance notifications are sent on 2027-01-28.

ICICCS 2027 is an annual international conference that aims to enhance the intersection of intelligent systems and sustainability. The edition of ICICCS 2027 mainly aims to explore and share cutting-edge research knowledge for future sustainable collaboration. The research works that discuss the tools, methodologies, practices, and applications of sustainable systems are strongly encouraged. 01 Intelligent Optimization and Control for Sustainable Circuit Design Machine Learning-Driven Optimization and Intelligent Control for Ultra-Low-Power Circuits Intelligent Power Management using Reinforcement Learning for High-Efficiency Power Converters Predictive Maintenance for Power Converters with Integrated AI and Control Systems Neuromorphic Computing on Battery-Powered Devices Intelligent computing tools in sustainable design Quantum control for complex physical systems 02 Smart Grid and Renewable Energy Integration with Intelligent Control Intelligent Control Systems and Machine Learning for Optimal Power Harvesting Intelligent Control for Fault Detection and Isolation Model predictive control (MPC) for nonlinear and hybrid systems AI-powered Demand Response Management with Intelligent Control in Smart Grids Real-Time Power Quality Optimization with Hybrid Control Systems Wide-area monitoring and control systems for smart grids (WAMS) 03 Intelligent Computing and Control for Sustainable IoT Systems Energy-Aware Task Scheduling with Intelligent Control for Resource-Constrained IoT Devices AI-driven Resource Management and Intelligent Control Safety-critical control systems with IIoT integration Federated Learning and Intelligent Control for Energy-Efficient Anomaly Detection Hardware-Software Co-design for Low-Power Edge Computing and Intelligent Control Biodegradable and Biocompatible Materials with Adaptive Control Systems for Wearables
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