Results 111 to 120 of about 6,998 (172)

Android Uygulama Kurulum Sürecı̇ İçin Verı̇mlı̇ Bir Evrı̇msel Tabanlı Fuzz Testı̇

, 2018
Automated tools based on source code analysis used in application development and test phases are insufficient to ensure application security. For this reason, researchers also resort to fuzz testing methods to analyze vulnerability in applications and ...
Hataş, Veysel
core  

Development and preliminary clinical validation of a mobile health application for pressure injury staging in ICU patients. [PDF]

Front Med (Lausanne)
Sheng H, Hu C, Zhang D, Zhu Z, Xu D.
europepmc   +1 more source

Development of a mobile application for the sale of online courses using Java, Firebase Realtime Database and Android Studio

Розробка мобільного додатку для продажу онлайн-курсів з використанням Java, Firebase Realtime Database та Android Studio // Кваліфікаційна робота освітнього рівня «Бакалавр» // Містерман Петро Михайлович // Тернопільський національний технічний ...
Містерман, Петро Михайлович, Misterman, Petro   +1 more
core  

Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection. [PDF]

Sci Rep
Tawfik M, Tarazi H, Dalalah A, Bajeszeyadaljunaeidia, Shaban WM, Fathi IS.   +5 more
europepmc   +1 more source

A Systematic Literature Review on Biometric Authentication in Mobile Banking. [PDF]

F1000Res
Naji Ali H, Salim Mahmood Al-Dabbagh S.
europepmc   +1 more source

Design of multi-mode intelligent system architecture for surface defect detection of steel based on cloud technology. [PDF]

Sci Rep
Ren F, Xu L, Fei J, Tomas JPQ, Li H, Doma BT.   +5 more
europepmc   +1 more source

Reassessing feature-based Android malware detection in a contemporary context. [PDF]

PLoS One
Muzaffar A, Ragab Hassen H, Zantout H, Lones MA.   +3 more
europepmc   +1 more source

CliniCAM: A Technical Report of a Mobile Health Application for Structured Clinical Image Documentation and Tag-Based Dataset Generation. [PDF]

Cureus
De Alba Solis AU, Gómez Sánchez E.
europepmc   +1 more source

MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]

Sci Data
Bragança H, Kreutz D, Rocha V, Assolin J, Feitosa E.   +4 more
europepmc   +1 more source

Active and passive data collection using mHealth to monitor mental wellness: Pilot findings from the Texas resilience against depression study. [PDF]

Digit Health
Chin Fatt CR, Minhajuddin A, Vasu S, Goodman LC, Sethuram S, Trivedi MH.   +5 more
europepmc   +1 more source