Sensors and Image Processing: Proceedings of CSI 2015

·
· Springer
Ebook
275
Pages
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About this ebook

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Sensors and Image Processing. The contents of this book will be useful to researchers and students alike.

About the author

Dr. Shabana Urooj currently works at Gautam Buddha University, Greater Noida, India. She received her bachelor’s in electrical engineering and M.Tech. in instrumentation & control from Aligarh Muslim University, Aligarh, India. She has completed her doctorate at Jamia Millia Islamia (A Central University), New Delhi, India. She has three years of industrial and 15 years of teaching experience. She has authored/co-authored more than 90 research papers. She has served as an editor, board member and reviewer for a number of leading journals. She is an active volunteer of IEEE and actively involved in various professional development ventures and bodies, such as the CSI and the ISTE.
;">Jitendra Virmani received his B.Tech. (Hons) in instrumentation engineering from Sant Longowal Institute of Engineering and Technology, Punjab in 1999 and his M.Tech. in electrical engineering with specialisation in measurement and instrumentation from the Indian Institute of Technology Roorkee, India in 2006, and his PhD on analysis and classification of B-Mode liver ultrasound images from the same institute in 2014. He held various academic posts before joining the Department of Electrical and Instrumentation Engineering, Thapar University, Patiala, Punjab, India where he has been an assistant professor since July 2015. He is a life member of the Institute of Engineers (IEI), India. His research interests include application of machine learning and soft computing techniques for the analysis of medical images.

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