يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '(("element method algorithm") OR ((("_ routine algorithm") OR ("data processing algorithm"))))', وقت الاستعلام: 0.36s تنقيح النتائج
  1. 1

    Thermographic images (Experimental raw data) for the analysis of water ingress in honeycomb composite panels حسب Cletus Magoda (22557356)

    منشور في 2025
    "…The samples with water and ice were tested and analyzed by using several data processing algorithms available in the ThermoFit software to enhance water detection performance. …"
  2. 2

    Table 2_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…Realizing these benefits requires not only investments in infrastructure and stakeholder engagement but also transparent model documentation, interdisciplinary ethics oversight, and routine algorithmic bias audits. Moreover, bridging the gap from in silico promise to real‑world impact demands large‑scale validation studies and methods that can accommodate heterogeneous evidence, ensuring AI‑driven innovations deliver equitable global health outcomes and reinforce pandemic preparedness.…"
  3. 3

    Table 3_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…Realizing these benefits requires not only investments in infrastructure and stakeholder engagement but also transparent model documentation, interdisciplinary ethics oversight, and routine algorithmic bias audits. Moreover, bridging the gap from in silico promise to real‑world impact demands large‑scale validation studies and methods that can accommodate heterogeneous evidence, ensuring AI‑driven innovations deliver equitable global health outcomes and reinforce pandemic preparedness.…"
  4. 4

    Table 1_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

    منشور في 2025
    "…Realizing these benefits requires not only investments in infrastructure and stakeholder engagement but also transparent model documentation, interdisciplinary ethics oversight, and routine algorithmic bias audits. Moreover, bridging the gap from in silico promise to real‑world impact demands large‑scale validation studies and methods that can accommodate heterogeneous evidence, ensuring AI‑driven innovations deliver equitable global health outcomes and reinforce pandemic preparedness.…"