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Soft Computing and Signal Processing Proceedings of 5th ICSCSP 2022
Title
Soft Computing and Signal Processing [electronic resource] : Proceedings of 5th ICSCSP 2022 / edited by V. Sivakumar Reddy, V. Kamakshi Prasad, Jiacun Wang, K. T. V. Reddy.
ISBN
9789811986697
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XVIII, 677 p.) 401 illus., 323 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). 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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 07, 2023
Series
Smart Innovation, Systems and Technologies, 313
Contents
Chapter 1. Microservice Architecture Observability Tool Analysis
Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities
Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers
Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis
Chapter 5. How AI Algorithms are being used in Applications
Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning
Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion
Chapter 8. Deriving Insights from COVID-19
Chapter 9. Smoke Detection in Forest Using Deep Learning
Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images
Chapter 11. Visual Learning with Dynamic Recall
Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering
Chapter 13. Automated Photomontage Generation with Neural Style Transfer
Chapter 14. Machine Learning Model Development Using Computational Neurology
Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.
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