Machine Vision and Augmented Intelligence

Select Proceedings of MAI 2025
Erscheinungsjahr 2026
ISBN: 978-981-9217-33-5
Verlag: Springer Verlag, Singapore

Buch, Englisch, 1271 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

This book provides a peer-reviewed collection of research papers from the International Conference on Machine Vision and Augmented Intelligence (MAI-2025). It covers theory, algorithms, and applications of machine vision and augmented intelligence, highlighting how deep learning, AR/VR, and AI are transforming fields such as healthcare, robotics, smart cities, IoT, and Industry 4.0. This book also addresses trustworthy AI and security challenges in vision-enabled systems. This book serves as a reference for researchers, students, and industry professionals as the contributions discuss practical case studies, and future research directions.

Zielgruppe

Research

Autoren/Hrsg.

Kumar Singh, Koushlendra

Singh, Avaneesh

Bajpai, Manish Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

Modelling of Disease Transformation.- Image Processing and Computer Vision.- Machine Vision Algorithms and Applications.- Deep Learning for Computer Vision.- Image Reconstruction.- Augmented Intelligence: Theory and Applications.- Soft Computing: Theory and Applications.- Deep Learning: Theory and Applications.- Artificial Intelligence in Healthcare.- Augmented and Virtual Reality Systems.

Über Autor(innen)

Koushlendra Kumar Singh is currently working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology, Jamshedpur, India. He completed his doctoral degree and master’s program at the Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur, India, in 2016 and 2011, respectively. Dr. Singh graduated in computer science and engineering from Bhagalpur College of Engineering, Bhagalpur, in 2008. He has published several papers in international refereed journals and conferences. His current research interests include image processing, biometrics, applications of fractional derivatives, computational modeling, and epidemic forecasting.

Dr. Avaneesh Singh is an Assistant Professor in the Department of Computer Science and Engineering at MMMUT, Gorakhpur, Uttar Pradesh, India. He has done his Ph.D. in Computer Science and Engineering from Indian Institute of Information Technology Jabalpur and completed his postdoctoral research at Indian Institute of Technology Kanpur.
His research focuses on cybersecurity, network intrusion detection systems, adversarial machine learning, and privacy-preserving systems, with an emphasis on practical and real-world security solutions.

Manish Kumar Bajpai is an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology Warangal, India. He completed his Ph.D. from IIT Kanpur in image reconstruction and parallel algorithm design. Dr. Bajpai has published over 70 publications in international journals and conferences. He has several sponsored research and consultancy projects funded by agencies such as SPARC, MHRD, DST, USIEF, ATAL, BRNS, and NVIDIA. Eleven students have completed/pursuing their Ph.D. under his supervision. His research areas are augmented intelligence, machine vision, brain-computer interface, medical imaging, and parallel algorithms design. Dr. Bajpai is a senior member of IEEE and a life member of the Indian Science Congress and the Indian Nuclear Society.