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Innovations in data analytics = selected papers of ICIDA 2024.. Volume 2 /

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, 618 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Kannada Character Recognition: Integrating Deep Learning and Classical Machine Learning Techniques -- InceptionNet-Enhanced Deep Learning Framework for ECG Arrhythmia Classification -- Malware Detection System Using Machine Learning and Deep Learning -- Efficient U-Net for insightful Lung Cancer Diagnosis -- Chronic Disease Diagnosis Using Multi-modal Transfer Learning Model -- Implication of AI in Women's Rights under Personal Laws in India -- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach -- Comparative Analysis of Real and AI-generated Synthetic Images for Classification Tasks: A Deep Learning Approach -- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach -- Etc.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-6300-2
ISBN:	9789819663002

Innovations in data analytics = selected papers of ICIDA 2024.. Volume 2 /
Innovations in data analyticsselected papers of ICIDA 2024.Volume 2 /[electronic resource] :ICIDA 2024edited by Abhishek Bhattacharya ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xv, 618 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 14092367-3389 ;. - Lecture notes in networks and systems ;v. 1409..

Kannada Character Recognition: Integrating Deep Learning and Classical Machine Learning Techniques -- InceptionNet-Enhanced Deep Learning Framework for ECG Arrhythmia Classification -- Malware Detection System Using Machine Learning and Deep Learning -- Efficient U-Net for insightful Lung Cancer Diagnosis -- Chronic Disease Diagnosis Using Multi-modal Transfer Learning Model -- Implication of AI in Women's Rights under Personal Laws in India -- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach -- Comparative Analysis of Real and AI-generated Synthetic Images for Classification Tasks: A Deep Learning Approach -- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach -- 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 work is presented in three volumes.

ISBN: 9789819663002

Standard No.: 10.1007/978-981-96-6300-2doiSubjects--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 2 /
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300 $a xv, 618 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a Kannada Character Recognition: Integrating Deep Learning and Classical Machine Learning Techniques -- InceptionNet-Enhanced Deep Learning Framework for ECG Arrhythmia Classification -- Malware Detection System Using Machine Learning and Deep Learning -- Efficient U-Net for insightful Lung Cancer Diagnosis -- Chronic Disease Diagnosis Using Multi-modal Transfer Learning Model -- Implication of AI in Women's Rights under Personal Laws in India -- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach -- Comparative Analysis of Real and AI-generated Synthetic Images for Classification Tasks: A Deep Learning Approach -- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach -- 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 work is presented in three volumes.
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