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Soft computing and signal processing = proceedings of 5th ICSCSP 2022 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Soft computing and signal processing/ edited by V. Sivakumar Reddy ... [et al.].
其他題名:	proceedings of 5th ICSCSP 2022 /
其他題名:	ICSCSP 2022
其他作者:	Reddy, V. Sivakumar.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xviii, 677 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Soft computing - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-8669-7
ISBN:	9789811986697

Soft computing and signal processing = proceedings of 5th ICSCSP 2022 /
Soft computing and signal processingproceedings of 5th ICSCSP 2022 /[electronic resource] :ICSCSP 2022edited by V. Sivakumar Reddy ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xviii, 677 p. :ill. (some col.), digital ;24 cm. - Smart innovation, systems and technologies,v. 3132190-3026 ;. - Smart innovation, systems and technologies ;16..

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.

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.

ISBN: 9789811986697

Standard No.: 10.1007/978-981-19-8669-7doiSubjects--Topical Terms:

671441
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63 / I48 2022

Dewey Class. No.: 006.3

Soft computing and signal processing = proceedings of 5th ICSCSP 2022 /
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505 0 $a 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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