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Intelligent sustainable systems = Pr...

International Conference on Intelligent Sustainable Systems (2022 :)

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Intelligent sustainable systems = Proceedings of ICISS 2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent sustainable systems/ edited by Jennifer S. Raj ... [et al.].
其他題名:	Proceedings of ICISS 2022 /
其他題名:	ICISS 2022
其他作者:	Raj, Jennifer S.
團體作者:	International Conference on Intelligent Sustainable Systems
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xxvi, 827 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Lung Ultrasound Covid-19 Detection using Deep Feature Recursive Neural Network -- Chapter 2. Predicting New York Taxi Trip Duration based on Regression Analysis using ML and Time Series Forecasting using DL -- Chapter 3. Implementation of Classical Error Control Codes for Memory Storage Systems using VERILOG -- Chapter 4. Parkinson's Disease Detection using Machine Learning -- Chapter 5. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India -- Chapter 6. The Concept of a Digital Marketing Communication Model for Higher Education Institutions -- Chapter 7. A Lightweight Image Colorization Model based on U-Net Architecture -- Chapter 8. Comparative Analysis of Obesity Level Estimation based on Life-Style using Machine Learning -- Chapter 9. An empirical Study on Millennials' Adoption of Mobile Wallets -- Chapter 10. AIoT Based Smart Mirror -- Chapter 11. AI Assisted College Recommendation System -- Chapter 12. An Agent-based Model to Predict the Emergence of Student Protests in Public Higher Education Institution -- Chapter 13. High Accuracy for Hyperspectral Image Classification using Hybrid Spectral 3-D-2-D CNN -- Chapter 14. Design Smart Curtain Using Light Dependent Resistor -- Chapter 15. Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection. etc.
Contained By:	Springer Nature eBook
標題:	Expert systems (Computer science) - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-2894-9
ISBN:	9789811928949

Intelligent sustainable systems = Proceedings of ICISS 2022 /
Intelligent sustainable systemsProceedings of ICISS 2022 /[electronic resource] :ICISS 2022edited by Jennifer S. Raj ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xxvi, 827 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 4582367-3389 ;. - Lecture notes in networks and systems ;v. 458..

Chapter 1. Lung Ultrasound Covid-19 Detection using Deep Feature Recursive Neural Network -- Chapter 2. Predicting New York Taxi Trip Duration based on Regression Analysis using ML and Time Series Forecasting using DL -- Chapter 3. Implementation of Classical Error Control Codes for Memory Storage Systems using VERILOG -- Chapter 4. Parkinson's Disease Detection using Machine Learning -- Chapter 5. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India -- Chapter 6. The Concept of a Digital Marketing Communication Model for Higher Education Institutions -- Chapter 7. A Lightweight Image Colorization Model based on U-Net Architecture -- Chapter 8. Comparative Analysis of Obesity Level Estimation based on Life-Style using Machine Learning -- Chapter 9. An empirical Study on Millennials' Adoption of Mobile Wallets -- Chapter 10. AIoT Based Smart Mirror -- Chapter 11. AI Assisted College Recommendation System -- Chapter 12. An Agent-based Model to Predict the Emergence of Student Protests in Public Higher Education Institution -- Chapter 13. High Accuracy for Hyperspectral Image Classification using Hybrid Spectral 3-D-2-D CNN -- Chapter 14. Design Smart Curtain Using Light Dependent Resistor -- Chapter 15. Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection. etc.

This book features research papers presented at the 5th International Conference on Intelligent Sustainable Systems (ICISS 2022), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 17-18, 2022. The book discusses latest research works that discusses the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.

ISBN: 9789811928949

Standard No.: 10.1007/978-981-19-2894-9doiSubjects--Topical Terms:

572486
Expert systems (Computer science)
--Congresses.

LC Class. No.: QA76.76.E95 / I57 2022

Dewey Class. No.: 006.33

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