Soft Computing and Signal Processing (eBook, PDF)

Proceedings of 3rd ICSCSP 2020, Volume 1
Redaktion: Reddy, V. Sivakumar; Reddy, K. T. V.; Wang, Jiacun; Prasad, V. Kamakshi

• Format: PDF

Produktbeschreibung

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 729
• Erscheinungstermin: 20. Mai 2021
• Englisch
• ISBN-13: 9789813369122
• Artikelnr.: 61920123

Autorenporträt

V. Sivakumar Reddy is Professor at the Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, and has more than 20 years of teaching and research experience. He completed his B.E. in Electronics and Communication Engineering from S.V. University, his M.Tech. in Digital Systems at JNT University and his Ph.D. in Electronics & Communication Engineering at IIT Kharagpur. His areas of research interest include multi-media signal processing and communication protocols. He has published more than 120 papers in peer-reviewed journals and reputed conferences. He is a member of several academic bodies, such as IETE, IEEE, ISTE and CSI. He is also a reviewer for several IEEE journals. He was awarded as "Best Teacher" in three consecutive academic years with citation and cash award. He is the recipient of "India Jewel Award" for outstanding contribution to the research in the field of Engineering and Technology. V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science & Technology at Andhra University in 1992. He has more than 21 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad hoc networks and computer graphics. He has published several books, chapters and research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees. Jiacun Wang received a Ph.D. in Computer Engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently Professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to2004, he was a member of scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate at the School of Computer Science, Florida International University (FIU) at Miami and Associate Professor at NJUST. He has published numerous books and research papers and is Associate Editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair and a program committee member for several international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000. K. T. V. Reddy an Alumni of IIT Bombay, is presently working as Campus Director and Principal, Pravara Technical Education Campus, Sir Visvesvaraya Institute of Technology (SVIT) Nashik. He was Former Director at PSIT Kanpur. During his teaching career at Fr C Rodrigues Institute of Technology (FCRIT), Vashi, he cultivated, promoted and developed the Department of ET to the extent that it started being considered as one of the best institutes under the University of Mumbai. He published over 100 papers in the national and international journals and conferences, delivered over 200 invited talks and organized over 150 conferences/workshops. Dr. Reddy is a fellow member of IETE, a senior member of IEEE and a life member of ISTE, ACM and CSI. He has organized several international and national conferences/workshops.

Inhaltsangabe

FSBRS: Framework for Sketch-based Retrieval System of the Color Images.- Music/Non-Music Discrimination Using Convolutional Neural Networks.- Novel Machine Learning Model with Wrapper based Dimensionality Reduction for Predicting Chronic Kidney Disease Risk.- Speech Enabled Automatic Form Filling System.- Time Series Analysis using ARIMA model for Air Pollution Prediction in Hyderabad City of India.- A Systematic Approach to Handle Ancient Tamil Script using Deep Learning Techniques.