Soft computing and signal processing : proceedings of 3rd ICSCSP 2020. Volume 1 / V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K.T.V. Reddy, editors.
2021
QA76.9.S63 I48 2020
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Title
Soft computing and signal processing : proceedings of 3rd ICSCSP 2020. Volume 1 / V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K.T.V. Reddy, editors.
Meeting Name
ISBN
9789813369122 (electronic bk.)
9813369124 (electronic bk.)
9789813369115
9813369116
9813369124 (electronic bk.)
9789813369115
9813369116
Published
Singapore : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-981-33-6912-2 doi
Call Number
QA76.9.S63 I48 2020
Dewey Decimal Classification
006.3
Summary
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.
Note
International conference proceedings.
Includes author index.
Includes author index.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 3, 2021).
Added Author
Series
Advances in intelligent systems and computing ; 1325. 2194-5357
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Table of Contents
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.
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.