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
RADAR-base/radar-commons-android: radar-commons-android 1.2.0 [PDF]
, 2022 Changes since 1.1.3: Added Android-compatible Avro library based on Apache Avro Changed default call log interval to 1 hour Use updated fine-grained Bluetooth permissions for Android API 31 Improved Github actions Added more control over the sensor ...
Joris Borgdorff +6 more
core +1 more source
Research of kinematics of an actuating group of an anthropomorphic gripper with a common drive
MATEC Web of Conferences, 2018 Anthropomorphic robots (AR): Robonaut (USA), Asimo (Japan), FEDOR (Russia) are similar to human capabilities in performable actions. Whereby the AR efficiency depends on the anthropomorphic gripper (AG) functionality.
Bogdanov Alexey +2 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
ANDROID: An Inter-disciplinary Academic Network that Promotes Co-operation and Innovation among European Higher Education to Increase Society's Resilience to Disasters [PDF]
, 2014 Using knowledge, innovation and education to build a culture of safety and resilience at all levels is one of five priorities for action (PFA) that were identified in the Hyogo Framework for Action (HFA).
Haigh, RP +8 more
core +1 more source
A Survey of Android Malware Detection with Deep Neural Models
ACM Computing Surveys, 2020 Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber security research. Deep learning models have many advantages over traditional Machine Learning (ML) models, particularly when there is a large amount of data available.
Junyang Qiu +5 more
semanticscholar +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
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
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