Konferenzen  >  Ingenieurwissenschaften  >  Robotik, Automatisierung & Mechatronik  >  Indien

Mount Zion College of Engineering and Technology

Many computational intelligence and learning methods, such as expert systems, neural networks, genetic algorithms and so on have found success in a variety of control and automation fields. Intelligent Control, which differs from conventional approaches is based on methodologies derived from Artificial Intelligence[AI] and soft computing techniques is capable of dealing with problems in diverse computational and communication domains and, more recently, those related to renewable energy and mobile autonomous systems, where conventional methods were unsuccessful.

Tel.: [9894162587];     Email: icacrs.confe@gmail.com

Ingenieurwesen und Industrie (allgemein),    Erneuerbare Energien und Wäremekraftwerke

KPR Institute of Engineering and Technology, Coimbatore, India

ICC-ROBINS'24 invites review and research articles from academicians, researchers, and industrial personnel. Status of the paper will be communicated to corresponding author after peer review. Selected papers will be invited for presentation at the discretion of the selection panel.

Tel.: [9994762822];     Email: icc_robins@kpriet.ac.in

Cognitive Theory, Neuromorphic Computing, Cognitive Data Analytics, Artificial Cognition, Cognitive Sensors, Human-Computer Interface, Decision Models, Probabilistic Computing, Natural Language Processing, Cognitive Data Analytics, Edge/Fog/Cloud Computing, Brain Machine Interface, Neuro and Cognitive Science, AI Optimized Hardware, Wireless Sensor Networks, Cyber Physical Systems, Cryptography & Blockchain, Neural Network Design, Pattern Recognition, Classification & Computer Vision, Image Processing, Industrial Robotics, Autonomous Driving System, Robot Communication, Data Sharing, M2M Communications, UAVs, Multi-Robot Coordination, Service Robots, Robots for Inspection, Rehabilitation Robots, Personal/Underwater Robots

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Implementierung und Anwendungen von künstlicher Intelligenz