Results 21 to 30 of about 306,676 (309)
Deep Reinforcement Learning for Black-box Testing of Android Apps [PDF]
ACM Transactions on Software Engineering and Methodology, 2021 The state space of Android apps is huge, and its thorough exploration during testing remains a significant challenge. The best exploration strategy is highly dependent on the features of the app under test.
Andrea Romdhana +3 more
semanticscholar +1 more source
Disaster Resilience Education and Research Roadmap for Europe 2030 : ANDROID Report [PDF]
, 2015 A disaster resilience education and research roadmap for Europe 2030 has been launched. This roadmap represents an important output of the ANDROID disaster resilience network, bringing together existing literature in the field, as well as the results of ...
Rochas, C +33 more
core +1 more source
MUXER—A New Equipment for Energy Saving in Ethernet
Technologies, 2017 Nowadays, the rapidly increasing energy consumption of communication equipment is an economic and environmental problem that needs to be addressed. Small Local Area Networks (LAN) switches in the US alone consume about 8 TWh per year that corresponds to ...
Md Mehedi Hassan Onik +3 more
doaj +1 more source
An in-depth review of machine learning based Android malware detection
Computers & security, 2022 It is estimated that around 70% of mobile phone users have an Android device. Due to this popularity, the Android operating system attracts a lot of malware attacks.
Ali Muzaffar +3 more
semanticscholar +1 more source
PENGARUH JENIS PRODUK TERHADAP VOLUME PENJUALAN HAND PHONE ANDROID DI COUNTER CLINIK ANDROID MADIUN
EQUILIBRIUM: Jurnal Ilmiah Ekonomi dan Pembelajarannya, 2015 Penelitian ini bertujuan (1) Untuk mengetahui bagaimana jenis produk android di Counter Clinik Android Madiun. (2) Untuk mengetahui bagaimana volume penjualan android di Counter Clinik Android Madiun.
Khoirul Ikhwan
doaj +1 more source
Warta Pengabdian Andalas, 2023 Android is a platform for smartphones that can be used anytime and anywhere. Smartphones can be felt in various aspects of human life, especially in education, as a medium of learning material between teachers and students.
Rahmatika Pratama Santi +6 more
doaj +1 more source
A Multimodal Deep Learning Method for Android Malware Detection Using Various Features
IEEE Transactions on Information Forensics and Security, 2019 With the widespread use of smartphones, the number of malware has been increasing exponentially. Among smart devices, android devices are the most targeted devices by malware because of their high popularity.
Taeguen Kim +4 more
semanticscholar +1 more source
DL-Droid: Deep learning based android malware detection using real devices [PDF]
Computers & security, 2019 The Android operating system has been the most popular for smartphones and tablets since 2012. This popularity has led to a rapid raise of Android malware in recent years.
Mohammed K. Alzaylaee +2 more
semanticscholar +1 more source
Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices
Italian National Conference on Sensors, 2022 With the rapid expansion of the use of smartphone devices, malicious attacks against Android mobile devices have increased. The Android system adopted a wide range of sensitive applications such as banking applications; therefore, it is becoming the ...
Hasan Alkahtani, Theyazn H. H. Aldhyani
semanticscholar +1 more source
Desarrollo de aplicaciones para dispositivos móviles sobre la plataforma Android de Google [PDF]
, 2009 Los dispositivos móviles constituyen cada vez más una realidad que ofrece al usuario, en un mismo y reducido aparato, funciones de comunicación y procesamiento de datos que van mucho más allá de las simples llamadas telefónicas o la ejecución de ...
Aranaz Tudela, Jaime
core +1 more source