Survey On Applications Of Internet Of Things Using Machine Learning

Published on Jan 1, 2019
· DOI :10.1109/CONFLUENCE.2019.8776951
Namrata Majumdar1
Estimated H-index: 1
(Amity University),
Shipra Shukla1
Estimated H-index: 1
(Amity University),
Anisha Bhatnagar1
Estimated H-index: 1
(Amity University)
Over the past few years, the use of computer has spread through a lot of fields. By the connection of devices over the internet tasks can be carried out with much ease. The advancement of Machine Learning (ML) on the Internet of Things (IoT) has allowed researchers to find easier solutions to complicated day to day problems. ML techniques and algorithms such as Support Vector Machine (SVM), Convolutional Neural Network (CNN), K means Clustering, Logistic regression can be used to generate devices such as smart surveillance systems, Smart Training Equipment (STE) and Smart Wearable Armband (SWA) for the improvement of conventional therapy or the detection of stress, heart rate, age related macular degeneration, process retinal images etc. IoT is also used in smart parking techniques by associating with the cloud and Big Data. This paper aims to study the different ML techniques used in the study of applications of IoT.
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