A Study of Machine Learning's Role in Developing Internet - of - things Applications And services

Dr. Anumaan shah

Abstract


Many of the most frequently used ML algorithms have been briefly introduced, and their implementation in diverse H-IoT applications has been evaluated in terms of their benefits, scope, and potential improvements. Diagnose, prognosis, and spread control applications, as well as assistive systems, monitoring, and logistics applications, have been classified. In healthcare, the actual usage of a model necessitates that it be very accurate and contain several safeguards against security breaches. The applications of machine learning algorithms in H-IoT presented in this study have demonstrated experimental proof of accuracy and practical usefulness. Each of these applications' limits and disadvantages has also been described.

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