بدائل البحث:
bone optimization » dose optimization (توسيع البحث), convex optimization (توسيع البحث), before optimization (توسيع البحث)
binary cancer » primary cancer (توسيع البحث)
cancer bone » cancer gene (توسيع البحث), cancer based (توسيع البحث), cancer model (توسيع البحث)
binary task » binary mask (توسيع البحث)
swarm » warm (توسيع البحث)
bone optimization » dose optimization (توسيع البحث), convex optimization (توسيع البحث), before optimization (توسيع البحث)
binary cancer » primary cancer (توسيع البحث)
cancer bone » cancer gene (توسيع البحث), cancer based (توسيع البحث), cancer model (توسيع البحث)
binary task » binary mask (توسيع البحث)
swarm » warm (توسيع البحث)
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Classification baseline performance.
منشور في 2025"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"
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3
Feature selection results.
منشور في 2025"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"
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4
ANOVA test result.
منشور في 2025"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"
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5
Summary of literature review.
منشور في 2025"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"
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6
Thesis-RAMIS-Figs_Slides
منشور في 2024"…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…"