Analysis of Artificial Intelligence Based Electronics Engineering Automation Nanotechnology and its Applications

S.Aruna Deepthi; Kodeeswara kumaran; Reshmi Olayil; Peddinti Neeraja; PM Murali; D.V.Lokeswar; G.Ramachandran

Authors

S.Aruna Deepthi Assistant professor, ECE, Vasavi college of Engineering, Hyderabad. https://orcid.org/0009-0005-3174-762X
Kodeeswara kumaran Associate professor, Department of Electrical & Electronics Engineering, Ramaiah Institute of Technology, Bengaluru. https://orcid.org/0009-0005-3174-762X
Reshmi Olayil Engineering Department, College of Engineering and technology, University of technology and Applied Sciences, Shinas, Oman. https://orcid.org/0009-0005-3174-762X
Peddinti Neeraja Assistant professor, Department of Computer Applications , School of computing, Mohan Babu university , Tirupati https://orcid.org/0009-0005-3174-762X
PM Murali Professor ,ECE , Vinayaka Mission’s Kirupananda Variyar Engineering College Vinayaka Mission’s Research Foundation Deemed to be University, Salem, India https://orcid.org/0009-0005-3174-762X
D.V.Lokeswar Reddy, Assistant Professor, Humanities and Basic Sciences Department, JNTU College Of Engineering, Pulivendula-516390, Kadapa (D), Andhra Pradesh, India https://orcid.org/0009-0005-3174-762X
G.Ramachandran Professor ,ECE , Vinayaka Mission’s Kirupananda Variyar Engineering College Vinayaka Mission’s Research Foundation Deemed to be University, Salem, India https://orcid.org/0009-0005-3174-762X

Keywords:

Applications , Artificial intelligence, Electronics, Internet of Things , Testing, Nanotechnology

Abstract

This article looks at how electronics engineering is using artificial intelligence (AI) and how this could revolutionize the field. AI-based systems have the potential to improve performance, reduce energy consumption, and increase system reliability. An overview of the most current advancements in electronics engineering's design automation, testing and diagnostics, production, maintenance, and control systems domains is provided by the study. Artificial intelligence (AI)-driven design automation tools streamline the design process by reducing costs and development time while improving accuracy and efficiency.

Analysis of Artificial Intelligence Based Electronics Engineering Automation Nanotechnology and its Applications

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