These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 35957337)

  • 1. Android Spyware Detection Using Machine Learning: A Novel Dataset.
    Qabalin MK; Naser M; Alkasassbeh M
    Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957337
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer.
    Elkabbash ET; Mostafa RR; Barakat SI
    PLoS One; 2021; 16(11):e0260232. PubMed ID: 34797851
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Operating-System Design and Its Implications for Victims of Family Violence: The Comparative Threat of Smart Phone Spyware for Android Versus iPhone Users.
    Harkin D; Molnar A
    Violence Against Women; 2021 May; 27(6-7):851-875. PubMed ID: 33843363
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices.
    Alkahtani H; Aldhyani THH
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336437
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks.
    Rehman A; Razzak I; Xu G
    IEEE J Biomed Health Inform; 2023 Feb; 27(2):684-690. PubMed ID: 35503855
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Internet Financial Data Security and Economic Risk Prevention for Android Application Privacy Leakage Detection.
    Wang Y; Wang L
    Comput Intell Neurosci; 2022; 2022():6782281. PubMed ID: 35371235
    [TBL] [Abstract][Full Text] [Related]  

  • 7. AMDDLmodel: Android smartphones malware detection using deep learning model.
    Aamir M; Iqbal MW; Nosheen M; Ashraf MU; Shaf A; Almarhabi KA; Alghamdi AM; Bahaddad AA
    PLoS One; 2024; 19(1):e0296722. PubMed ID: 38241330
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Digital Forensic Analysis to Improve User Privacy on Android.
    Kim H; Shin Y; Kim S; Jo W; Kim M; Shon T
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684591
    [TBL] [Abstract][Full Text] [Related]  

  • 9. StresSense: Real-Time detection of stress-displaying behaviors.
    Saddaf Khan N; Qadir S; Anjum G; Uddin N
    Int J Med Inform; 2024 May; 185():105401. PubMed ID: 38493546
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Gait Recognition as an Authentication Method for Mobile Devices.
    Axente MS; Dobre C; Ciobanu RI; Purnichescu-Purtan R
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32718088
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Application of Personal Information Privacy Protection Based on Machine Learning Algorithm.
    Lang F; Zhong Y
    Comput Intell Neurosci; 2022; 2022():6710631. PubMed ID: 35958767
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis.
    Grundy Q; Chiu K; Held F; Continella A; Bero L; Holz R
    BMJ; 2019 Mar; 364():l920. PubMed ID: 30894349
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments.
    Aldhyani THH; Alkahtani H
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808184
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Security and Privacy Analysis of Smartphone-Based Driver Monitoring Systems from the Developer's Point of View.
    Levshun D; Chechulin A; Kotenko I
    Sensors (Basel); 2022 Jul; 22(13):. PubMed ID: 35808558
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Smartphone Users' Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study.
    Joo E; Kononova A; Kanthawala S; Peng W; Cotten S
    JMIR Mhealth Uhealth; 2021 Apr; 9(4):e16518. PubMed ID: 33847596
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting personality from patterns of behavior collected with smartphones.
    Stachl C; Au Q; Schoedel R; Gosling SD; Harari GM; Buschek D; Völkel ST; Schuwerk T; Oldemeier M; Ullmann T; Hussmann H; Bischl B; Bühner M
    Proc Natl Acad Sci U S A; 2020 Jul; 117(30):17680-17687. PubMed ID: 32665436
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Energy-Efficient Multi-Tier Architecture for Fall Detection Using Smartphones.
    Guvensan MA; Kansiz AO; Camgoz NC; Turkmen HI; Yavuz AG; Karsligil ME
    Sensors (Basel); 2017 Jun; 17(7):. PubMed ID: 28644378
    [TBL] [Abstract][Full Text] [Related]  

  • 18. FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification.
    Jiang C; Yin K; Xia C; Huang W
    Entropy (Basel); 2022 Jul; 24(7):. PubMed ID: 35885142
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MFDroid: A Stacking Ensemble Learning Framework for Android Malware Detection.
    Wang X; Zhang L; Zhao K; Ding X; Yu M
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408211
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Problematic Smartphone Use: A Machine Learning Approach.
    Lee J; Kim W
    Int J Environ Res Public Health; 2021 Jun; 18(12):. PubMed ID: 34203674
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.