Hybrid machine learning algorithms for fault detection in android smartphones

Author:

Jogarah Keshav K.1,Soopaul Keshav1,Beeharry Yogesh2ORCID,Hurbungs Visham3

Affiliation:

1. Department of Information and Communication Technologies; University of Mauritius; Réduit Mauritius

2. Faculty of Information, Communication and Digital Technologies; University of Mauritius; Réduit Mauritius

3. Department of Software and Information Systems; University of Mauritius; Réduit Mauritius

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference27 articles.

1. Nikkei Financial Times https://www.ft.com/content/3b22f87e-84ef-11e2-88bb-00144feabdc0?mhq5j=e1

2. Towards a comprehensive data analytics framework for smart healthcare services;Sakr;Big Data Res,2016

3. Android Android https://source.android.com/devices/sensors/sensor-types.html

4. Dean J Ghemawat S Google 2004 https://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf

5. Big data analytics: a survey;Tsai;J Big Data,2015

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