Results 261 to 270 of about 306,676 (309)

Preserving evidence integrity in full file system extractions: Assessing hash inconsistencies and potential solutions. [PDF]

J Forensic Sci
Yoo S, Park Y, Jeong D.
europepmc   +1 more source

Changes in visceral adiposity, body composition, and cardiometabolic profiles following a supervised mixed exercise program in women with normal-weight obesity and obesity. [PDF]

BMC Sports Sci Med Rehabil
Wang C, Choi N, Li J, Xu S, Liang Z, Wen X, Zhang B, Yang W, Lei S, Cheng S, Duan R, Wang X.   +11 more
europepmc   +1 more source

Deep learning for precision grading of Schistosoma japonicum-induced liver fibrosis in ultrasound images. [PDF]

Nat Commun
Xu Z, Zhang J, Wu T, Hua H, Yang K, Zeng T.   +5 more
europepmc   +1 more source

Comparing DXA and MRI body composition measurements in cross-sectional and longitudinal cohorts. [PDF]

Commun Med (Lond)
Basty N, Thanaj M, Whitcher B, Bell JD, Thomas EL.   +4 more
europepmc   +1 more source

Development of an augmented virtuality framework using user-defined passthrough surfaces. [PDF]

MethodsX
Zulkarnain AHB, Gere A.
europepmc   +1 more source

Afternoon exercise was associated with greater fat loss than morning exercise in overweight/obese adults: an exploratory study of PER3 rs228697 genotype matching. [PDF]

Front Physiol
Wang Y, Xu C, Tong J.
europepmc   +1 more source

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Comprehensive Android Malware Detection Based on Federated Learning Architecture

IEEE Transactions on Information Forensics and Security, 2023
Android malware and its variants are a major challenge for mobile platforms. However, there are two main problems in the existing detection methods: $a$ ) The detection method lacks the evolution ability for Android malware, which leads to the low ...
Wen-Bo Fang, Jun-Jiang He, Wen-Shan Li, Xiao Lan, Yang Chen, Tao Li, Jiwu Huang, Lin-Lin Zhang   +7 more
semanticscholar   +1 more source

Understanding the Behaviour of Android Ransomware Attacks with Real Smartphones Dataset

2023 International Conference for Advancement in Technology (ICONAT), 2023
Android Security has become a frequently targeted area by cyber attackers and is widely exploited for several benefits by unauthorized users. The open-source model and affordable access to Android platforms enable smartphone users with multiple free ...
Atul Kumar, Ishu Sharma
semanticscholar   +1 more source

GDroid: Android malware detection and classification with graph convolutional network

Computers & security, 2021
The dramatic increase in the number of malware poses a serious challenge to the Android platform and makes it difficult for malware analysis. In this paper, we propose a novel approach for Android malware detection and familial classification based on ...
Hang Gao, Shaoyin Cheng, Weiming Zhang
semanticscholar   +1 more source