يعرض 201 - 220 نتائج من 423 نتيجة بحث عن 'error selection algorithm', وقت الاستعلام: 0.20s تنقيح النتائج
  1. 201
  2. 202
  3. 203

    Simulated and Field-Based Error Characterisation of Animal Geolocalisation and Relative Positioning via Commercial Drones حسب Kilian Meier (22303138)

    منشور في 2025
    "…The characterisation has first been done qualitatively in a simulated experiment, where the contributions of various error sources have been studied. The localisation algorithm has then been deployed at Ol Pejeta Conservancy (Kenya) on a commercial-off-the-shelf platform (DJI Mavic 3T) observing wild animals. …"
  4. 204
  5. 205

    Results of machine learning for hub gene selection. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…(D) The top 10 hub genes in the RF algorithm ranked by two types of importance. (E) Venn diagram illustrated the intersection of hub genes identified by LASSO and RF selection. …"
  6. 206
  7. 207
  8. 208
  9. 209
  10. 210
  11. 211
  12. 212
  13. 213
  14. 214
  15. 215
  16. 216
  17. 217

    Classification baseline performance. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
  18. 218

    ANOVA test result. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
  19. 219

    Summary of literature review. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
  20. 220

    Minimizing fuzzy goal. حسب Mohammadmahdi Taheri (21722285)

    منشور في 2025
    "…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …"