Investigations in Pattern Recognition and Computer Vision for Industry 4.0

Chowdhary, Chiranji Lal · Swain, Basanta Kumar · Kumar, Vijay

set. del 2023 · IGI Global

Llibre electrònic

276

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Sobre aquest llibre

The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data availability, and new ways to leverage machine-learning algorithms. As a branch of artificial intelligence (AI), computer vision brings meaningful information from images and videos. Such innovations help communicators to run better campaigns, amplify messages further, and stand out in a noisy, crowded marketplace.

Investigations in Pattern Recognition and Computer Vision for Industry 4.0 provides a holistic discussion of the new practical applications and use cases of computer vision and communications. Covering topics such as social media filters, mobile computer vision, and AI-powered image editing, this book is ideal for academicians, researchers, postgraduate students, professional data analysts, research and development centers, organizations dealing with healthcare informatics, and IT firms.

Sobre l'autor

Chiranji Lal Chowdhary is an Associate Professor in the School of Information Technology & Engg at VIT University, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College (currently named as MBM University) at Jodhpur, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology at Bangalore. He received his PhD in Information Technology and Engineering from the VIT University Vellore. From 2006 to 2010 he worked at MSRIT in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing. Much of his work has been on images, mainly through the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. Professor Chowdhary is editor/co-editor of 8 books and is the author of over forty articles on computer science. He filed two patents deriving from his research. He was selected in the Stanford University List of Top 2% Scientists Worldwide for 2021 and 2022.

Basanta Kumar Swaim is presently Head of the Department of Computer Science & Engineering, at the Government College of Engineering Kalahandi, Bhawanipatna, Odisha. Formerly, he was working as a Lecturer at the postgraduate level in the department of CSA, Utkal University, BBSR, Orissa. He has been doing his research work in the domain of Speech Processing for the Oriya language for the last 17 years. His area of interest includes Speech Processing Technology, Image Processing, Data Mining and Pattern Recognition. He has a number of publications to his credit in international journals and conferences.

Vijay Kumar is Assistant Professor in Computer Science and Engineering Department, NIT Hamirpur. He received his Ph.D. degree from NIT Kuruksherta. Previously, he received M.Tech. and B.Tech. degrees from GJUS&T, Hisar and M.M. Engineering College, Mullana, respectively. He has 4 years of teaching and research experience in the Thapar Institute of Engineering & Technology, Patiala. Prior, he has 8 years of teaching experience in various reputed institutes. He completed 2 DST SERB sponsored research projects. Presently, he is working on 1 CSIR sponsored research project. He has published more than 100 research papers in International Journals/Conferences. He has many book chapters in international repute publishers. He has supervised many Ph.D. and M.Tech. thesis on Metaheuristics, Image Mining, and Data Clustering. He has been listed among World’s Top 2% Scientists (2021 and 2022). He is the reviewer of several reputed SCI journals. He is member of ACM, CSI, International Association of Engineers, International Association of Computer Science and Information Technology, Singapore. His current research area is Soft Computing, Data Mining, Deep Learning, Steganography, and Pattern Recognition. [Editor]

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