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mHealth: A Design of an Exercise Recommendation System for the Android Operating System
For healthiness and wellness, exercising is one of the key factors. Therefore, this paper aims to present the first phase of a mobile health application developed to recommend healthcare support referring to exercises on an Android smartphone.
Pongpisit Wuttidittachotti +2 more
semanticscholar +3 more sources
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An Empirical Investigation of Fault Triggers in Android Operating System
Pacific Rim International Symposium on Dependable Computing, 2017The growing popularity and complexity of Android operating system makes it prone to suffer failures during usage, which increases difficulties of fixing bugs.
Fangyun Qin +4 more
semanticscholar +1 more source
Violence against Women, 2020
Spyware products sold to general consumer audiences are a greater threat to those who own Android devices than those who own iPhones. This is a consequence of the Android operating system being more permissive of software functionality, allowing third ...
Diarmaid Harkin, Adam Molnar
semanticscholar +1 more source
Spyware products sold to general consumer audiences are a greater threat to those who own Android devices than those who own iPhones. This is a consequence of the Android operating system being more permissive of software functionality, allowing third ...
Diarmaid Harkin, Adam Molnar
semanticscholar +1 more source
World Congress on Formal Methods, 2013
We present a design and an implementation of a security policy specification language based on metric linear-time temporal logic MTL. MTL features temporal operators that are indexed by time intervals, allowing one to specify timing-dependent security ...
Hendra Gunadi, Alwen Tiu
semanticscholar +1 more source
We present a design and an implementation of a security policy specification language based on metric linear-time temporal logic MTL. MTL features temporal operators that are indexed by time intervals, allowing one to specify timing-dependent security ...
Hendra Gunadi, Alwen Tiu
semanticscholar +1 more source
A Survey of Android Malware Detection with Deep Neural Models
ACM Computing Surveys, 2021Jun-Yang Qiu, Jun Zhang, Wei Luo
exaly
Deep Learning for Android Malware Defenses: A Systematic Literature Review
ACM Computing Surveys, 2023, Chakkrit Tantithamthavorn, Yepang Liu
exaly
International Cross-Disciplinary Conference on Web Accessibility, 2018
Bruna de Oliveira +2 more
semanticscholar +1 more source
Bruna de Oliveira +2 more
semanticscholar +1 more source
Android Source Code Vulnerability Detection: A Systematic Literature Review
ACM Computing Surveys, 2023Janaka Senanayake +2 more
exaly
An enhanced security framework for reliable Android operating system
Secur. Commun. Networks, 2016Jong Hyuk Park +3 more
semanticscholar +1 more source
Android malware classification using optimum feature selection and ensemble machine learning
Internet of Things and Cyber-physical Systems, 2023exaly

