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Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2024.. Volume 1 /

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:	xxii, 509 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	GPT-3-based AI Cover Letter Generator: A Feasibility Study -- Meteorology Driven Air Quality Prediction -- Video Enhancement by progressive use of Denoising and Super-resolution -- Integrating GPS Technology and Smart Payment Systems for Enhanced Public Transportation Efficiency in India -- A Machine Learning- Driven Approach for Early leaf disease Detection and Classification: A Survey -- SOFTWARE DEFECT CODE ANALYZER USING COSINE SIMILARITY -- Unleashing Agricultural Precision: A Deep Learning Paradigm for Papaya (Carica papaya L.) Variety Discrimination and Yield Optimization.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-8861-3
ISBN:	9789819788613

Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications = ICMISC 2024.. Volume 1 /
Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and ApplicationsICMISC 2024.Volume 1 /[electronic resource] :ICMISC 2024edited by Vinit Kumar Gunjan, Jacek M. Zurada. - Singapore :Springer Nature Singapore :2025. - xxii, 509 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 11812367-3389 ;. - Lecture notes in networks and systems ;v. 1181..

GPT-3-based AI Cover Letter Generator: A Feasibility Study -- Meteorology Driven Air Quality Prediction -- Video Enhancement by progressive use of Denoising and Super-resolution -- Integrating GPS Technology and Smart Payment Systems for Enhanced Public Transportation Efficiency in India -- A Machine Learning- Driven Approach for Early leaf disease Detection and Classification: A Survey -- SOFTWARE DEFECT CODE ANALYZER USING COSINE SIMILARITY -- Unleashing Agricultural Precision: A Deep Learning Paradigm for Papaya (Carica papaya L.) Variety Discrimination and Yield Optimization.

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: 9789819788613

Standard No.: 10.1007/978-981-97-8861-3doiSubjects--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 1 /
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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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