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International Conference on Data Analytics and Insights ((2024 :)

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Proceedings of International Conference on Data Analytics and Insights = ICDAI 2024.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of International Conference on Data Analytics and Insights/ edited by Nabendu Chaki ... [et al.].
Reminder of title:	ICDAI 2024.
remainder title:	ICDAI 2024
other author:	Chaki, Nabendu.
corporate name:	International Conference on Data Analytics and Insights
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxvi, 576 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Machine Learning Perspectives on Safe Motherhood Determinants in Bangladesh -- Wind Energy Prospects in Kuakata, Bangladesh: A Revelation through Rayleigh and Weibull Models -- Dengue Prevalence in Bangladesh: Statistical Insights into Epidemiological Dynamics -- A Study on the Present Use of Nanotechnology in Agriculture and Food -- Enhancing Forest Fire Prevention: Machine Learning Approaches for Early Detection and Risk Assessment.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-3287-9
ISBN:	9789819632879

Proceedings of International Conference on Data Analytics and Insights = ICDAI 2024.. Volume 1 /
Proceedings of International Conference on Data Analytics and InsightsICDAI 2024.Volume 1 /[electronic resource] :ICDAI 2024edited by Nabendu Chaki ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxvi, 576 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 12332367-3389 ;. - Lecture notes in networks and systems ;volume 1233..

Machine Learning Perspectives on Safe Motherhood Determinants in Bangladesh -- Wind Energy Prospects in Kuakata, Bangladesh: A Revelation through Rayleigh and Weibull Models -- Dengue Prevalence in Bangladesh: Statistical Insights into Epidemiological Dynamics -- A Study on the Present Use of Nanotechnology in Agriculture and Food -- Enhancing Forest Fire Prevention: Machine Learning Approaches for Early Detection and Risk Assessment.

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2024), organized by Techno International, Kolkata, India, during July 25-27, 2024. The two volumes of the book cover important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.

ISBN: 9789819632879

Standard No.: 10.1007/978-981-96-3287-9doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Proceedings of International Conference on Data Analytics and Insights = ICDAI 2024.. Volume 1 /
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505 0 $a Machine Learning Perspectives on Safe Motherhood Determinants in Bangladesh -- Wind Energy Prospects in Kuakata, Bangladesh: A Revelation through Rayleigh and Weibull Models -- Dengue Prevalence in Bangladesh: Statistical Insights into Epidemiological Dynamics -- A Study on the Present Use of Nanotechnology in Agriculture and Food -- Enhancing Forest Fire Prevention: Machine Learning Approaches for Early Detection and Risk Assessment.
520 $a The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2024), organized by Techno International, Kolkata, India, during July 25-27, 2024. The two volumes of the book cover important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.
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