Proceedings of International Conference on Communication, Circuits, and Systems: IC3S 2020 (Lecture Notes in Electrical Engineering, 728)
Idioma: inglés
Editorial: Springer, 2021
Serie: Libro 492 de 548 - Lecture Notes in Electrical Engineering
- Tapa dura
- Nuevo
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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In English.
N° de ref. del artículo ria9789813348653_new
- Título
- Proceedings of International Conference on Communication, Circuits, and Systems: IC3S 2020 (Lecture Notes in Electrical Engineering, 728)
- Editorial
- Springer
- Año de publicación
- 2021
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 9813348658
- ISBN 13
- 9789813348653
- Peso del artículo
- 1121 gramos
- Serie
- Libro 492 de 548: Lecture Notes in Electrical Engineering
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Prof. Sukanta Kumar Sabut received the B.E. and M.Tech. degrees in Electronics Engineering from the VT University of Karnataka in 2005 and the Ph.D. degree in Medical Science and Technology from IIT Kharagpur, India, in 2011. Presently, he is working as Associate Professor in the School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Dr. Sabut is a member of IEEE, IET, IFESS, Rehabilitation Council of India, and the Institution of Engineers (India). He is the author of 75 articles in journals and conferences having Google scholar citations of 872. He has over 20 years of experience in both teaching and research. His research interests include biomedical signal and image analysis, machine learning & deep learning for health care, and neural and rehabilitation engineering.
Prof. Arun Kumar Ray is currently working as Professor and Director, School of Electronics Engineering and KIIT Deemed to be University. He is now involved both in teaching and administration. He has completed his Ph.D. from IIT Kharagpur. He has been with KIIT since the last 21 years. He has published many research papers in peer-reviewed international/national journals and conferences. He is also having active memberships of IEEE Signal Processing and IET and lifetime member of ISTE. During his teaching professional, he had taught subjects like digital signal processing, digital image processing, and computer networking. His research interest includes image processing and computer networks.
Prof. Bibudhendu Pati is Head in the Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, India (Only Govt. Women’s University in the state of Odisha, India). He received his Ph.D. degree from Indian Institute of Technology Kharagpur, India. He has around 22 years of experience in teaching and research. His areas of research interests include wireless communication, cloud computing, big data, Internet of things, and advanced network technologies. He has got several papers published in reputed journals, conference proceedings, and books of international repute. He was General Chair of ICACIE 2016, IEEE ANTS 2017, ICACIE 2018, and ICACIE 2019. He is the life member of Indian Society for Technical Education, Computer Society of India, and a senior member of IEEE.
Prof. U Rajendra Acharya is a senior faculty member at Ngee Ann Polytechnic, Singapore. He is also (i) Adjunct Professor at the University of Malaya, Malaysia, (ii) Adjunct Faculty at Singapore Institute of Technology, University of Glasgow, Singapore, and (iii) Associate Faculty at Singapore University of Social Sciences, Singapore. He received his Ph.D. from National Institute of Technology Karnataka (Surathkal, India) and D.Eng. from Chiba University (Japan). He has published more than 630 papers, in refereed international SCI-IF journals (345), international conference proceedings (42), books (17) with 26,681 citations in Google Scholar (with h-index of 76), and ResearchGate RG Score of 47.76. Presently, he is Editor of Knowledge-Based Systems Journal, BME Online Journal, International Journal of Neural Systems etc. His major academic interests are in biomedical signal and imaging processing, data mining, and biophysics for better healthcare systems. He is ranked in the top 1% of the Highly Cited Researchers (2016 and 2017) in Computer Science according to the Essential Science Indicators of Thomson.
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Ria Christie Collections
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