Proceedings of International Conference on Frontiers in Computing and Systems (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
599
Utgivningsdatum
2022-06-28
Upplaga
1st ed. 2023
Förlag
Springer Verlag, Singapore
Medarbetare
Basu, Subhadip (ed.), Kole, Dipak Kumar (ed.), Maji, Arnab Kumar (ed.)
Illustrationer
187 Illustrations, color; 64 Illustrations, black and white; XXXV, 599 p. 251 illus., 187 illus. in
Dimensioner
234 x 156 x 33 mm
Vikt
876 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9789811901041
Proceedings of International Conference on Frontiers in Computing and Systems (häftad)

Proceedings of International Conference on Frontiers in Computing and Systems

COMSYS 2021

Häftad Engelska, 2022-06-28
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This book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29-October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.
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Övrig information

Subhadip Basu received his Ph.D. degree from Jadavpur University in 2006 and did his Postdoctoral researches from University of Lowa, USA, in 2010-11 and from University of Warsaw, Poland, during 2012-14. He is a faculty member of the Computer Science and Engineering Department of Jadavpur University since 2006, where he is currently working as a full professor. He is also Honorary Research Scientist in the Department of Electrical and Computer Engineering, University of Lowa, USA, since 2016. He has published around 200 research articles in various international journals, conference proceedings and book chapters in the areas of pattern recognition and related applications, bioinformatics, biomedical image analysis, etc. He has co-edited seven books, co-invented two US patents and guest edited special issues in Briefings in Functional Genomics (OUP) and in Pattern Recognition Letters (Elsevier)). He has served as a technical program committee member and also as an organizing member of several international conferences in India and abroad. He has worked in many international institutes of repute, including Hitachi Central Research Laboratory, Japan, Bournemouth University, UK, University of Lorraine, France, Nencki Institute of Experimental Biology, Poland, etc. He is the recipient of the DAAD Fellowship from Germany, Research Award from UGC, Govt. of India, BOYSCAST, and FASTTRACK Young Scientist Fellowships from DST, Govt. of India, HIVIP Fellowship from Hitachi, Japan, and EMMA Fellowships from the European Union. He is a senior member of IEEE and life member of IUPRAI (Indian Unit for IAPR). Dipak K. Kole received the Ph.D. degree in Engineering from Bengal Engineering and Science University, which is currently known as IIEST, Shibpur, India, in 2012. He also received an M.Tech. and B. Tech. in Computer Science and Engineering and B.Sc. in Mathematics Honours from Calcutta University. He has approximately 19 years of professional experience. He is a faculty member of the Computer Science and Engineering Department of Jalpaiguri Government Engineering College since 2014, where he is currently working as a full professor. His research interest includes synthesis and testing of reversible circuits, social network analysis, digital watermarking and agriculture engineering. He published more than 61 research articles in various international journals, conference proceedings and book chapters in the areas of VLSI, reversible circuits, social network analysis, agriculture engineering, image and video processing and cryptography. Arnab Kumar Maji received B.E. degree in Information Science and Engineering from Visvesvaraya Technological University (VTU) in 2003 and M.Tech in Information Technology from Bengal Engineering and Science University, Shibpur (Currently IIEST, Shibpur) in 2005. He received his Ph.D. from Assam University, Silchar (A Central University of India) in the year 2016. He has approximately 17 years of professional experience. He is currently working as Assistant Professor (Stage-3) in the Department of Information Technology, North Eastern Hill University, Shillong (A Central University of India). He has published more than 32 nos. of articles in different reputed International Journals and Conferences, more than 22 nos. of articles as book chapter and authored 02 nos. of books with several international Publishers like Elsevier, Springer, IEEE, MDPI, IGI Global, and McMilan International etc. 04 nos. of PhD scholars are currently pursuing Doctoral Degrees under his active supervision. He has also guided successfully 15 nos. of M.Tech thesis and 03 nos. of Ph.D. scholars. He is also reviewer of several reputed international journals and guest editor of one Springer journal. His Research interests include Machine Learning, Image Processing, and Natural Language Processing. Dariusz Plewczynski interests are focused on functional and structural genomics. Functional genomic attempts to make use of the vast wea

Innehållsförteckning

Experimental Face Recognition System using Deep Learning Approaches.- MultiNet: A Diffusion based Approach to Assign Directionality in Protein Interactions using a Consensus of Eight Protein Interaction Datasets.- An Irrigation Support System Using Regressor Assembly.- Does Random Hopping Ensure More Pandal Visits than Planned Pandal Hopping?.- Consensus-based Identification and Comparative Analysis of Structural Variants and their Influence on 3D Genome Structure using Long- and Short-read Sequencing Technologies in Polish Families.- On the Performance of Convolutional Neural Networks with Resizing and Padding.- Analysis of Vegetation Health of the Sundarbans Region using Remote Sensing Methods.- You Reap What You Sow - Revisiting Intra-class Variations and Seed Selection in Temporal Ensembling for Image Classification.- Light U-Net: Network Architecture for Outdoor Scene Semantic Segmentation.- Framework of Intelligent Transportation System: A Survey.