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 *

167 related articles for article (PubMed ID: 34883863)

  • 1. HARTH: A Human Activity Recognition Dataset for Machine Learning.
    Logacjov A; Bach K; Kongsvold A; Bårdstu HB; Mork PJ
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883863
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Method for Sensor-Based Activity Recognition in Missing Data Scenario.
    Hossain T; Ahad MAR; Inoue S
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32650486
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Human Activity Recognition via Hybrid Deep Learning Based Model.
    Khan IU; Afzal S; Lee JW
    Sensors (Basel); 2022 Jan; 22(1):. PubMed ID: 35009865
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Smart-Sleeve: A Wearable Textile Pressure Sensor Array for Human Activity Recognition.
    Xu G; Wan Q; Deng W; Guo T; Cheng J
    Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270849
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
    Vos G; Trinh K; Sarnyai Z; Rahimi Azghadi M
    J Biomed Inform; 2023 Dec; 148():104556. PubMed ID: 38048895
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences.
    Patel CI; Labana D; Pandya S; Modi K; Ghayvat H; Awais M
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33353248
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.
    Irvine N; Nugent C; Zhang S; Wang H; Ng WWY
    Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31905991
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.
    Huang W; Zhang L; Teng Q; Song C; He J
    IEEE J Biomed Health Inform; 2021 Oct; 25(10):3834-3843. PubMed ID: 34170835
    [TBL] [Abstract][Full Text] [Related]  

  • 9. HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models.
    Poulose A; Kim JH; Han DS
    Comput Intell Neurosci; 2022; 2022():1808990. PubMed ID: 36248917
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Wrapper-based deep feature optimization for activity recognition in the wearable sensor networks of healthcare systems.
    Sahoo KK; Ghosh R; Mallik S; Roy A; Singh PK; Zhao Z
    Sci Rep; 2023 Jan; 13(1):965. PubMed ID: 36653370
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classifying Goliath Grouper (
    Brewster LR; Ibrahim AK; DeGroot BC; Ostendorf TJ; Zhuang H; Chérubin LM; Ajemian MJ
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640710
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Epileptic Patient Activity Recognition System Using Extreme Learning Machine Method.
    Ayman U; Zia MS; Okon OD; Rehman NU; Meraj T; Ragab AE; Rauf HT
    Biomedicines; 2023 Mar; 11(3):. PubMed ID: 36979795
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch.
    Tan TH; Shih JY; Liu SH; Alkhaleefah M; Chang YL; Gochoo M
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36992065
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring.
    Bhattacharya D; Sharma D; Kim W; Ijaz MF; Singh PK
    Biosensors (Basel); 2022 Jun; 12(6):. PubMed ID: 35735541
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone.
    Cruciani F; Cleland I; Nugent C; McCullagh P; Synnes K; Hallberg J
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 29987218
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.
    Takenaka K; Kondo K; Hasegawa T
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896542
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Human Activity Recognition for AI-Enabled Healthcare Using Low-Resolution Infrared Sensor Data.
    Karayaneva Y; Sharifzadeh S; Jing Y; Tan B
    Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617075
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Single Accelerometer to Recognize Human Activities Using Neural Networks.
    Vakacherla SS; Kantharaju P; Mevada M; Kim M
    J Biomech Eng; 2023 Jun; 145(6):. PubMed ID: 36695756
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data.
    Farrahi V; Niemela M; Tjurin P; Kangas M; Korpelainen R; Jamsa T
    IEEE J Biomed Health Inform; 2020 Jan; 24(1):27-38. PubMed ID: 31107668
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Visualizing Inertial Data For Wearable Sensor Based Daily Life Activity Recognition Using Convolutional Neural Network
    Huynh-The T; Hua CH; Kim DS
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2478-2481. PubMed ID: 31946400
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.