Advancing Innovation Through Ai and Machine Learning Algorithms

The International Conference on Microstructure, VLSI, Robotics, Communication, Electrical & Emerging Technologies using AI-ML Algorithms (ICMVRCET - 2025).

A propos de l'auteur

Dr. Udara Yedukondalu, serving as the Principal of MVR College of Engineering and Technology, Paritala, Vijayawada, combines academic leadership with a strong research background. With 22 years of teaching experience, 30+ journal publications, 5 patents, and 1 copyright, he is dedicated to advancing innovation in VLSI, nano-electronics, and integrated circuits. His commitment to holistic education aligns with Dr. A.P.J. Abdul Kalam's vision, fostering creativity, purpose-driven learning, and student-centered growth. Under his guidance, MVR College emphasizes not only academic excellence but also the overall personality development and employability of rural youth. Through ICMVRCET - 2025, he aims to provide a global platform for emerging technologies using AI-ML algorithms.
Dr. V Vijayasri Bolisetty is an accomplished academician with over 18 years of experience in teaching, research, and academic leadership in the field of Electronics and Communication Engineering. She currently serves as an Associate Professor at Aditya University, where she actively contributes to research development, technical education, and student mentoring. Her academic background includes an M.E. and a Ph.D. in Electronics and Communication Engineering, with specialization in Signal Processing. Dr. Vijayasri has contributed to numerous scholarly publications and technical initiatives that bridge academic research with real-world applications. As an editorial board member of ICMVR 2025, Dr. V Vijayasri Bolisetty key role in maintaining the scientific quality of the conference through rigorous peer review, topic curation, and academic oversight. Her areas of interest align with the conference themes, particularly in smart systems, sustainable electronics, and advanced computational techniques. She is committed to fostering innovation, collaboration, and academic excellence in the global research community.

Détails du produit

• Collaboration: Udara Yedukondalu (Editeur), V Vijayasri Bolisetty (Editeur)
• Auteurs: Udara Bolisetty Yedukondalu
• Edition: Taylor & Francis Ltd.
• Contenu: Livre
• Forme du produit: Livre de poche
• Date de parution: 22.10.2025
• Catégorie: Sciences naturelles, médecine, it, technique > Physique, astronomie > Mécanique, acoustique; Livres de conseils
• EAN: 9781041164272
• ISBN: 978-1-0-4116427-2
• Nombre de pages: 587
• Catégories: Software Engineering, Artificial Intelligence, ENERGY, Computer-Aided Design (CAD), TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications, Energy technology & engineering, Artificial Intelligence (AI), Information technology: general issues, Computer architecture & logic design, Computer architecture and logic design, COMPUTERS / Artificial Intelligence / General, Energy technology and engineering, Internet Guides & Online Services, Internet guides and online services, COMPUTERS / Quantum Computing, Deep learning applications, Digital and Information technology: general topics, VLSI circuit design;robotics automation systems;IoT communication protocols;deep learning applications;FPGA implementation methods;biomedical signal analysis;energy efficient AI-driven systems, biomedical signal analysis, robotics automation systems, IoT communication protocols, FPGA implementation methods, energy efficient AI-driven systems