ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed
Fast Publication within 48 hours || Low Article Processing Charges || Peer Reviewed and Referred Journal || Free Certificate
Reviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performance
Department of Information Technology, University of the Cumberlands, Kentucky, U.S.A.
Review
International Journal of Science and Research Archive, 2024, 12(02), 2869–2872.
Article DOI: 10.30574/ijsra.2024.12.2.1601
Publication history:
Received on 18 July 2024; revised on 26 August 2024; accepted on 29 August 2024
Abstract:
The convergence of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) has revolutionized various industries by enhancing IoT applications' efficiency and performance. This paper presents a comprehensive review of the impact of AI and ML in optimizing IoT systems. This study investigates how AI/ML algorithms contribute to real-time decision-making, energy efficiency, data management, and security in IoT networks through a qualitative research methodology. Additionally, it identifies the limitations of current research and provides directions for future work.
Keywords:
Artificial Intelligence; Machine Learning; Internet of Things; IoT Performance; Data Management; Security
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
