Showing 101 - 120 results of 2,383 for search 'decision three classifier', query time: 0.16s Refine Results
  1. 101
  2. 102

    A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease by Augusto Ielo, Serena Dattola, Lilla Bonanno, Paolo De Pasquale, Alberto Cacciola, Angelo Quartarone, Maria Cristina De Cola

    Published 2025-01-01
    “…The Unified Parkinson’s Disease Rating Scale (UPDRS) 3.17 is a clinical assessment used to evaluate the amplitude of RTs, providing critical insights into the severity of this condition. …”
    Get full text
    Article
  3. 103
  4. 104

    Decision Fusion System for Bolted Joint Monitoring by Dong Liang, Shen-fang Yuan

    Published 2015-01-01
    “…Firstly, the basic knowledge of decision fusion and classifier selection techniques is briefly introduced. …”
    Get full text
    Article
  5. 105
  6. 106
  7. 107
  8. 108
  9. 109

    A parsimonious model for classifying the traffic state of urban road networks: A two-stage regression approach by Wei Huang, Dalin Tang, Xin Qiao, Guojun Chen

    Published 2025-12-01
    “…We suggest that the model can be used to assist flexible decision-making support with different levels of detail.…”
    Get full text
    Article
  10. 110

    Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

    Published 2024-01-01
    “…A novel sentiment majority voting classifier (SMVC) is proposed for the sentiment labeling of collected tweets. …”
    Get full text
    Article
  11. 111
  12. 112
  13. 113
  14. 114
  15. 115

    Detection of left atrial enlargement in dogs using deep learning in thoracic radiographs by Lucas Auto Lopes, Anaemilia das Neves Diniz, Helio Silva Neto

    Published 2025-04-01
    “…The classifier model with different algorithms can help radiologists improve the analysis of medical images by reducing errors, starting a selective double reading. …”
    Get full text
    Article
  16. 116

    Detection of left atrial enlargement in dogs using deep learning in thoracic radiographs by Lucas Auto Lopes, Anaemilia das Neves Diniz, Helio Silva Neto

    Published 2025-04-01
    “…The classifier model with different algorithms can help radiologists improve the analysis of medical images by reducing errors, starting a selective double reading. …”
    Get full text
    Article
  17. 117
  18. 118
  19. 119
  20. 120