Machine Vision and Augmented Intelligence-Theory and Applications

Select Proceedings of MAI 2021
1. Auflage 2021
ISBN: 978-981-16-5080-2
Verlag: Springer Nature Singapore

Buch, Englisch, Band 796, 692 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1054 g

Reihe: Lecture Notes in Electrical Engineering

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

Zielgruppe

Research

Autoren/Hrsg.

Bajpai, Manish Kumar

Giakos, George

Kumar Singh, Koushlendra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

Chapter 01: Modelling of Disease Transformation.- Chapter 02: Epidemic Forecast.- Chapter 03: COVID-19: Theory and practice.- Chapter 04: Image Processing and Computer Vision.- Chapter 05: Augmented Intelligence: Theory and Applications.- Chapter 06: Soft Computing: Theory and Applications.- Chapter 07: Deep Learning: Theory and Applications.- Chapter 08: Image Reconstruction.- Chapter 09: Artificial Intelligence in Healthcare.- Chapter 10: Brain Computer Interface.- Chapter 11: Cyber Security and Social Network Analysis.- Chapter 12: Natural Language Processing.- Chapter 13: Cryptography and Image Security.

Über Autor(innen)

Manish Kumar Bajpai is an assistant professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India. He completed his Ph.D. from IIT Kanpur in the area of image reconstruction and parallel algorithm design. Dr. Bajpai has published over 50 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. 11 students have completed/pursuing their Ph.D. under his supervision. His areas of research 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 Indian Nuclear Society.

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 from 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 interest areas are image processing, biometrics, and different applications of fractional derivatives, computational modeling, epidemic forecasting, etc.

George Giakos is a professor and chair in the Department of Electrical and Computer Engineering at Manhattan College, NY, USA. His research is articulated in technology innovation through the integration of physics, engineering, and artificial intelligence. He is a founding director of the Laboratory for Quantum Cognitive Imaging and Neuromorphic Engineering (CINE), Augmented Intelligence, and Bioinspired Vision Systems at Manhattan College. He has more than 20 US and foreign patents, 350 peer-reviewed published papers. He got extensive training in the design of innovative bioinspired electro-optical imaging sensor systems, by serving as a contractor at NASA, US Air Force Laboratories (AFRL), and Office of Naval Research. He is the recipient of the Fulbright Award to India, granted by the US Department of State, 2019-2020. Dr. Giakos has been recognized for his leadership efforts in advancing the professional goals of IEEE by receiving the 2014 IEEE-USA Professional Achievement Award in recognition of his efforts in strengthening links between industry, government, and academia.