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Proceedings of 5th International Con...

International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (2024 :)

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Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2024.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications/ edited by Vinit Kumar Gunjan, Jacek M. Zurada.
Reminder of title:	ICMISC 2024.
remainder title:	ICMISC 2024
other author:	Gunjan, Vinit Kumar.
corporate name:	International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxi, 529 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Cardiovascular Disease Detection Using Ensemble Learning -- VisionCraft: Advanced Image Captioning with Pre-trained Models -- Revolutionizing Leaf Disease Management: Harnessing Machine Learning Strategies for Detection and Diagnosis -- Comparative Analysis of Neural Trajectory Prediction Models for Vehicle Tracking -- Guardians of Green: Deep Learning Methods for Plant Disease Detection -- Unveiling Mental Health Insights: Twitter Text Analysis using NMF and Clustering.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-8865-1
ISBN:	9789819788651

Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2024.. Volume 2 /
Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and ApplicationsICMISC 2024.Volume 2 /[electronic resource] :ICMISC 2024edited by Vinit Kumar Gunjan, Jacek M. Zurada. - Singapore :Springer Nature Singapore :2025. - xxi, 529 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,v. 11822367-3389 ;. - Lecture notes in networks and systems ;v. 1182..

Cardiovascular Disease Detection Using Ensemble Learning -- VisionCraft: Advanced Image Captioning with Pre-trained Models -- Revolutionizing Leaf Disease Management: Harnessing Machine Learning Strategies for Detection and Diagnosis -- Comparative Analysis of Neural Trajectory Prediction Models for Vehicle Tracking -- Guardians of Green: Deep Learning Methods for Plant Disease Detection -- Unveiling Mental Health Insights: Twitter Text Analysis using NMF and Clustering.

This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, which will be held in Hyderabad, India on 28-29 March 2024. It includes the most recent research trends and advancements in machine learning, smart cities, IoT, AI, cyber-physical systems, cybernetics, data science, neural networks, and cognition. This book addresses the comprehensive nature of AI, ML, and DL to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems.

ISBN: 9789819788651

Standard No.: 10.1007/978-981-97-8865-1doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2024.. Volume 2 /
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520 $a This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, which will be held in Hyderabad, India on 28-29 March 2024. It includes the most recent research trends and advancements in machine learning, smart cities, IoT, AI, cyber-physical systems, cybernetics, data science, neural networks, and cognition. This book addresses the comprehensive nature of AI, ML, and DL to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems.
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