Showing 761 - 780 results of 1,866 for search 'T12 (classification)', query time: 0.09s Refine Results
  1. 761

    Detecting and Mapping Peatlands in the Tibetan Plateau Region Using the Random Forest Algorithm and Sentinel Imagery by Zihao Pan, Hengxing Xiang, Xinying Shi, Ming Wang, Kaishan Song, Dehua Mao, Chunlin Huang

    Published 2025-01-01
    “…The classification primarily relied on the NDVI, NDWI, and RVI, while the DVI and MNDWI were also used in peatland mapping. …”
    Get full text
    Article
  2. 762

    Establishment of a Risk Prediction Model for Pulmonary Infection in Patients with Advanced Cancer by Liangliang Yang, Xiaolong Xu, Qingquan Liu

    Published 2022-01-01
    “…The nomogram was well calibrated, with a Hosmer-Lemeshow χ2 statistic of 12.4 (P=0.26) in the testing dataset. Conclusions. …”
    Get full text
    Article
  3. 763
  4. 764
  5. 765
  6. 766
  7. 767
  8. 768
  9. 769
  10. 770

    Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

    Published 2025-01-01
    “…Then, a fine-grained classification regression network is proposed, which uses per-pixel classification regression to train the tracker. …”
    Get full text
    Article
  11. 771
  12. 772
  13. 773
  14. 774
  15. 775
  16. 776
  17. 777

    Blind Spot in the Radar of MEST-C Score: Type and Severity of Tubulointerstitial Nephritis in IgA Nephropathy by Iram Asrar, Mudassar Hussain, Aurangzeb Afzal, Usman Hassan, Sheeba Ishtiaq

    Published 2023-01-01
    “…The updated version of predictive classification for immunoglobulin A nephropathy (IgAN) prognosis “The Oxford Classification” identifies five histopathological features including mesangial hypercellularity (M), endocapillary proliferation (E), segmental glomerulosclerosis (S), tubular atrophy/interstitial fibrosis (T) and crescents (C), the MEST-C. …”
    Get full text
    Article
  18. 778
  19. 779
  20. 780