BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

287 related articles for article (PubMed ID: 34640666)

  • 1. An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications.
    Anand A; Rani S; Anand D; Aljahdali HM; Kerr D
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640666
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments.
    Landman T; Nissim N
    Neural Netw; 2021 Dec; 144():648-685. PubMed ID: 34656885
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transfer Learning for Image-Based Malware Detection for IoT.
    Panda P; C U OK; Marappan S; Ma S; S M; Veesani Nandi D
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991965
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Convolution neural network with batch normalization and inception-residual modules for Android malware classification.
    Liu T; Zhang H; Long H; Shi J; Yao Y
    Sci Rep; 2022 Aug; 12(1):13996. PubMed ID: 35978023
    [TBL] [Abstract][Full Text] [Related]  

  • 5. IoT malware detection architecture using a novel channel boosted and squeezed CNN.
    Asam M; Khan SH; Akbar A; Bibi S; Jamal T; Khan A; Ghafoor U; Bhutta MR
    Sci Rep; 2022 Sep; 12(1):15498. PubMed ID: 36109570
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet.
    Wazzan M; Algazzawi D; Albeshri A; Hasan S; Rabie O; Asghar MZ
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632306
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Efficient DenseNet-Based Deep Learning Model for Malware Detection.
    Hemalatha J; Roseline SA; Geetha S; Kadry S; Damaševičius R
    Entropy (Basel); 2021 Mar; 23(3):. PubMed ID: 33804035
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Malware Detection in Internet of Things (IoT) Devices Using Deep Learning.
    Riaz S; Latif S; Usman SM; Ullah SS; Algarni AD; Yasin A; Anwar A; Elmannai H; Hussain S
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502007
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Biserial Miyaguchi-Preneel Blockchain-Based Ruzicka-Indexed Deep Perceptive Learning for Malware Detection in IoMT.
    Alotaibi AS
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770424
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Explainable Artificial Intelligence-Based IoT Device Malware Detection Mechanism Using Image Visualization and Fine-Tuned CNN-Based Transfer Learning Model.
    Naeem H; Alshammari BM; Ullah F
    Comput Intell Neurosci; 2022; 2022():7671967. PubMed ID: 35875737
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.
    Morid MA; Sheng ORL; Kawamoto K; Abdelrahman S
    J Biomed Inform; 2020 Nov; 111():103565. PubMed ID: 32980530
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Feature Extraction and Classification of Android Malware Images.
    Singh J; Thakur D; Ali F; Gera T; Kwak KS
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33302430
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1-A New IoT Dataset.
    Liu Z; Thapa N; Shaver A; Roy K; Siddula M; Yuan X; Yu A
    Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300574
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Data augmentation based malware detection using convolutional neural networks.
    Catak FO; Ahmed J; Sahinbas K; Khand ZH
    PeerJ Comput Sci; 2021; 7():e346. PubMed ID: 33816996
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks.
    Ben Atitallah S; Driss M; Almomani I
    Sensors (Basel); 2022 Jun; 22(11):. PubMed ID: 35684922
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.
    Elbagoury BM; Vladareanu L; Vlădăreanu V; Salem AB; Travediu AM; Roushdy MI
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050561
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Obfuscated Memory Malware Detection in Resource-Constrained IoT Devices for Smart City Applications.
    Shafin SS; Karmakar G; Mareels I
    Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300073
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Malicious Code Variant Identification Based on Multiscale Feature Fusion CNNs.
    Wang S; Wang J; Song Y; Li S
    Comput Intell Neurosci; 2021; 2021():1070586. PubMed ID: 34950195
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Smart Healthcare System Based on Cloud-Internet of Things and Deep Learning.
    Guo B; Ma Y; Yang J; Wang Z
    J Healthc Eng; 2021; 2021():4109102. PubMed ID: 34257851
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.