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Innovations in data analytics = selected papers of ICIDA 2024.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Innovations in data analytics/ edited by Abhishek Bhattacharya ... [et al.].
Reminder of title:	selected papers of ICIDA 2024.
remainder title:	ICIDA 2024
other author:	Bhattacharya, Abhishek.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xv, 582 p. :ill., digital ;24 cm.
[NT 15003449]:	Finding vitamin deficiency presence or absence with checking availability through machine learning -- Seamless Traffic Regulation: Automatic fine generation (AFG) with SRGAN Model -- Assessment, Implementation and Monitoring of Industrial Safety and Potential Hazards -- Implementation and Management of a Uniform Civil Code via AI: A Significance and Implications for Indian Society -- Random Forests to Predict Volcanic Eruptions in the Pacific Ring of Fire -- BrickNet: Enhanced Model for Brick Grading System with Explainable Artificial Intelligence in Bangladesh -- Etc.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-6297-5
ISBN:	9789819662975

Innovations in data analytics = selected papers of ICIDA 2024.. Volume 1 /
Innovations in data analyticsselected papers of ICIDA 2024.Volume 1 /[electronic resource] :ICIDA 2024edited by Abhishek Bhattacharya ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xv, 582 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 14082367-3389 ;. - Lecture notes in networks and systems ;v. 1408..

Finding vitamin deficiency presence or absence with checking availability through machine learning -- Seamless Traffic Regulation: Automatic fine generation (AFG) with SRGAN Model -- Assessment, Implementation and Monitoring of Industrial Safety and Potential Hazards -- Implementation and Management of a Uniform Civil Code via AI: A Significance and Implications for Indian Society -- Random Forests to Predict Volcanic Eruptions in the Pacific Ring of Fire -- BrickNet: Enhanced Model for Brick Grading System with Explainable Artificial Intelligence in Bangladesh -- Etc.

This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during 18-19 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. The book is presented in three volumes.

ISBN: 9789819662975

Standard No.: 10.1007/978-981-96-6297-5doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Innovations in data analytics = selected papers of ICIDA 2024.. Volume 1 /
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505 0 $a Finding vitamin deficiency presence or absence with checking availability through machine learning -- Seamless Traffic Regulation: Automatic fine generation (AFG) with SRGAN Model -- Assessment, Implementation and Monitoring of Industrial Safety and Potential Hazards -- Implementation and Management of a Uniform Civil Code via AI: A Significance and Implications for Indian Society -- Random Forests to Predict Volcanic Eruptions in the Pacific Ring of Fire -- BrickNet: Enhanced Model for Brick Grading System with Explainable Artificial Intelligence in Bangladesh -- Etc.
520 $a This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during 18-19 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. The book is presented in three volumes.
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