Applied Computer Vision and Image Processing

Proceedings of ICCET 2020, Volume 1
1. Auflage 2020
ISBN: 978-981-15-4028-8
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1155, 432 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g

Reihe: Advances in Intelligent Systems and Computing

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.

Zielgruppe

Research

Autoren/Hrsg.

Iyer, Brijesh

Gudivada, Venkat

Rajurkar, A. M.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

A Deep Learning Architecture for Corpus Creation for Telugu Language.- Entropy-Based Facial Movements Recognition using CPVM.- A Novel Approach of Image Processing to Identify Type and Name of Snake.- Imext Text Summarizer using Deep Learning.- Lane Detection and Collision Prevention System for Automated Vehicles.

Über Autor(innen)

Dr. Brijesh Iyer received his Ph.D. degree in Electronics and Telecommunication Engineering from Indian Institute of Technology, Roorkee, India, in 2015. He is an Associate Professor in the University Department of E&TC Engineering at Dr. Babasaheb Ambedkar Technological University, Lonere (A State Technological University). He is a recipient of INAE research fellowship in the field of Engineering. He had 02 patents to his credit and authored over 40 research publications in peer-reviewed reputed journals and conference proceedings. He had authored 05 five books on curricula as well as cutting-edge technologies like Sensor Technology. He has served as the program committee member of various international conferences and reviewer for various international journals. His research interests include RF front-end design for 5G and beyond, IoT, and biomedical image/signal processing.

Dr. Mrs. Archana Rajurkar is working as a Professor and Head, Department of Computer Science and Engineering at MGMs College of Engineering, Nanded, Maharashtra, India. She had received the research grants worth Rs. 32 Lakh from BARC, Mumbai, in the area of image processing. She has authored and coauthored over 70+ research publications in peer-reviewed reputed journals and conference proceedings. She is having an experience of 28+ years in the academics at various positions. She has served as the program committee member of various international conferences and reviewer for various international journals. Her research interests include content-based image processing, multimedia technology and applications, and biomedical image analysis. She received her Ph.D. degree in Computer Engineering from the Indian Institute of Technology, Roorkee, India, in 2003.

Dr. Venkat is Chairperson and Professor in the Computer Science Department at East Carolina University. Prior to this, he was Founding Chair and Professor in the Weisberg Division of Computer Science at Marshall University and also worked as a Vice President for Wall Street companies in New York city for over six years including Merrill Lynch (now Bank of America Merrill Lynch) and Financial Technologies International (now GoldenSource). His previous academic tenure also includes work at the University of Michigan, University of Missouri, and Ohio University. His current research interests are in data management, verification and validation of SQL queries, cognitive computing, high-performance computing, information retrieval, computational analysis of natural language, and personalized learning. His research has been funded by NSF, NASA, U.S. Department of Energy, U.S. Department of Navy, U.S. Army Research Office, Marshall University Foundation, and West Virginia Division of Science and Research. He has published over 100 articles in peer-reviewed journals, book chapters, and conference proceedings. Dr. Venkat received his Ph.D. degree in Computer Science from the Center for AdvancedComputer Studies (CACS), at the University of Louisiana at Lafayette.