Smart City Gnosys

Smart city article details

Title	Handbook Of Research On Machine Learning-Enabled Iot For Smart Applications Across Industries
ID_Doc	28691
Authors	Goel N.; Yadav R.K.
Year	2023
Published	Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries
DOI	http://dx.doi.org/10.4018/978-1-6684-8785-3
Abstract	Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT's success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians. © 2023 by IGI Global. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
36075	0.942	Bzai J.; Alam F.; Dhafer A.; Bojović M.; Altowaijri S.M.; Niazi I.K.; Mehmood R.	Machine Learning-Enabled Internet Of Things (Iot): Data, Applications, And Industry Perspective	Electronics (Switzerland), 11, 17 (2022)
9931	0.925	Pradhan N.; Singh A.S.; Sagar S.; Singh A.; Elngar A.A.	Application Of Machine Learning And Iot For Smart Cities	Machine Learning Approaches for Convergence of IoT and Blockchain (2021)
35982	0.924	Alsamhi S.H.; Almalki F.A.; Al-Dois H.; Ben Othman S.; Hassan J.; Hawbani A.; Sahal R.; Lee B.; Saleh H.	Machine Learning For Smart Environments In B5G Networks: Connectivity And Qos	Computational Intelligence and Neuroscience, 2021 (2021)
35902	0.919	Sharma S.; Chmaj G.; Selvaraj H.	Machine Learning Applied To Internet Of Things Applications: A Survey	Springer Proceedings in Mathematics and Statistics, 364 (2021)
36017	0.918	Rani S.; Maheswar R.; Kanagachidambaresan G.R.; Ahuja S.; Gupta D.	Machine Learning Paradigm For Internet Of Things Applications	Machine Learning Paradigm for Internet of Things Applications (2021)
56602	0.914	Mishra S.; Tyagi A.K.	The Role Of Machine Learning Techniques In Internet Of Things-Based Cloud Applications	Internet of Things (2022)
35888	0.912	Rashmi Bandara M.S.; Halgamuge M.N.; Marques G.	Machine Learning And Internet Of Things For Smart Living: A Comprehensive Review And Analysis	Studies in Fuzziness and Soft Computing, 410 (2021)
9370	0.91	Haouam K.-D.	Analysis Of The Role Of Machine Learning In The Internet Of Things (Iot)	Colloquium in Information Science and Technology, CIST (2023)
8624	0.91	Peralta Abadía J.J.; Smarsly K.	An Introduction And Systematic Review On Machine Learning For Smart Environments/Cities: An Iot Approach	Intelligent Systems Reference Library, 121 (2022)
59663	0.906	Singh D.; Singh V.; Singh S.A.	Unlocking The Potential Of Time Series Iot (Internet Of Things) Data: The Transformative Role Of Ai And Machine Learning In Smart Cities	2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, IC3ECSBHI 2025 (2025)