Special Sessions
SS14-Bio Inspired Learning, Pattern Recognition and Analysis: Circuit to System Approach
Session Chair/ Session Organizers:
Dr. Maheswari S, Vellore Institute of Technology, Chennai, Tamilnadu
Dr. Sasikumar P, Vellore Institute of Technology, Chennai, Tamilnadu
Objective
The purpose of this session is to provide academicians, top researchers and industry professionals a forum to discuss the "full spectrum" of recent theoretical advancements, cutting-edge technology, and creative uses of bio-inspired learning, pattern recognition and analysis from circuit to system level. One of the most intriguing study fields currently is bio-inspired computing, which is constantly showing outstanding ability in resolving challenging real-world issues in science and engineering problems. This special issue aims at providing a specific opportunity to review the state-of-the-art of this recently emerging and cross-disciplinary field of bio-inspired learning and adaptation. In this special issue, we bring together researchers to present the latest progress, novel research methodologies, and a broad spectrum of potential research topics in the fields of Artificial Intelligence and Machine Learning, Industry 4.0, Metaverse and AR/VR, Smart Cities, and Management of Smart Energy Grids.
Topics of the Special Session
The contribution may include the topics of interest, but are not limited to the topics mentioned below
• Analog and Mixed Signal Circuits and Systems
• Digital Integrated Circuits and Systems
• Multimedia Systems and Video Analytics
• Communications Circuits and Systems
• Intelligence system and machine vision
• Visualization
• Management of smart energy grids
• Communication and block chain technology
• Artificial Intelligence and Machine Learning
• Industry 4.0
• Metaverse and AR/VR
• Smart cities