Showing 141 - 160 results of 1,373 for search '((((justifications OR justifications) OR purification) OR modification) OR classification)', query time: 0.15s Refine Results
  1. 141
  2. 142

    Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning by Abdus Salam (1918387)

    Published 2025
    “…The framework also supported hydronephrosis classification using the fluid-to-kidney area ratio, with a threshold of 0.213 derived from prior literature. …”
  3. 143
  4. 144

    Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning by Kaddoura, Yara

    Published 2023
    “…A Master of Science thesis in Computer Engineering by Yara Kaddoura entitled, “Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning”, submitted in January 2023. …”
    Get full text
    doctoralThesis
  5. 145
  6. 146

    FPGA-based Parallel Hardware Architecture for Real-time Object Classification by Qasaimeh, Murad Mohammad

    Published 2014
    “…A Master of Science thesis in Computer Engineering by Murad Mohammad Qasaimeh entitled, "FPGA-based Parallel Hardware Architecture for Real-time Object Classification," submitted in June 2014. Thesis advisor is Dr. …”
    Get full text
    doctoralThesis
  7. 147
  8. 148
  9. 149
  10. 150
  11. 151
  12. 152

    Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair by Thomas, Kevin Koshy

    Published 2023
    “…These modifications offer opportunities to improve the long-term performance of magnesium-based biomedical implants. …”
    Get full text
    article
  13. 153
  14. 154

    Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis by Md Arifuzzaman (11471123)

    Published 2019
    “…<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. …”
  15. 155
  16. 156

    Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

    Published 2024
    “…Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. The proposed algorithm achieved high classification accuracy, 97.22%, 99.31%, and 95.83% for GM, WM, and CSF regions, respectively. …”
  17. 157
  18. 158
  19. 159
  20. 160