Results 201 to 210 of about 217,869 (293)

Deep multi-metrics learning for mobile app defect prediction using code and process metrics. [PDF]

Sci Rep
Abdu A, Abdo HA, Ullah I, Khan J, Gu YH, Algabri R.   +5 more
europepmc   +1 more source

Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]

Sci Rep
Tanveer MU, Munir K, Alyamani HJ, Hassan SR, Sheraz M, Chuah TC.   +5 more
europepmc   +1 more source

Forensic analysis and evaluation of file‐wiping applications in Android OS

Journal of Forensic Sciences, EarlyView.
Abstract Anti‐forensics refers to techniques designed to obstruct the discovery of evidence in digital forensic investigations. File‐wiping is one of the anti‐forensic techniques that make data recovery impossible by overwriting data with specific patterns. This technique poses significant challenges to investigators.
Dong Bin Oh, Somi Lim, Suji Lee, Yesong Jo, Gahyun Choi, Bumyun Kim, Huy Kang Kim   +6 more
wiley   +1 more source

JDroid: Android malware detection using hybrid opcode feature vector. [PDF]

PeerJ Comput Sci
Arslan RS.
europepmc   +1 more source

Bike Pooling Android Application

, 2017
Pooja Sutar
openalex   +1 more source

Economic Policy Challenges*

Economic Papers: A journal of applied economics and policy, EarlyView.
This article is about the interaction between policymaking and research and also between policymakers and academia: what that should look like, and whether that is working as well as it could at the moment. The wealth of data and computational capabilities today, coupled with the breadth and depth of theory, could be usefully channelled into better ...
Guy Debelle
wiley   +1 more source

Fault Injection in Android Applications

, 2019
Adélia Helena Valentim Gonçalves
openalex   +2 more sources

Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS‐4D): Opportunities, implementations and future perspectives

Methods in Ecology and Evolution, EarlyView.
Abstract Virtual laser scanning (VLS) is an established and valuable research tool in forestry and ecology, widely used to simulate labelled light detection and ranging (LiDAR) point cloud data for sensitivity analysis, model training for machine learning (ML) and method testing.
Hannah Weiser, Bernhard Höfle
wiley   +1 more source

Accuracy of digital templating for total hip arthroplasty: android smartphone and tablet computer versus commercial templating software. [PDF]

Arthroplasty
Wangjiraphan N, Sirimongkol C, Pongkunakorn A.   +2 more
europepmc   +1 more source

Efficacy of a personalised alcohol approach bias modification smartphone app in people accessing outpatient alcohol use disorder treatment: A randomised controlled trial

Addiction, EarlyView.
Abstract Background and aims Several randomised controlled trials (RCTs) have demonstrated that delivering approach bias modification (ApBM) during residential alcohol use disorder (AUD) treatment helps prevent post‐treatment relapse. However, few studies have examined ApBM's efficacy for AUD in outpatients.
Joshua B. B. Garfield, Bosco Rowland, Samuel K. Liu, Hugh Piercy, Yvonne Bonomo, Danielle Whelan, Victoria Manning   +6 more
wiley   +1 more source