بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
image design » images designed (توسيع البحث), simple design (توسيع البحث), space design (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
image design » images designed (توسيع البحث), simple design (توسيع البحث), space design (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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21
Precision recall curve.
منشور في 2024"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
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22
Fortran & C++: design fractal-type optical diffractive element
منشور في 2022"…</p> <p>(2) calculate diffraction fields for fractal and/or grid-matrix (binary) phase-holograms.</p> <p>(3) optimize the fractal and/or grid-matrix holograms for given target diffraction images, using annealing algorithms. …"
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23
Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
منشور في 2020"…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …"
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24
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.…"
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25
Models and Dataset
منشور في 2025"…Operating in a binary search space, TJO simulates intelligent and evasive movements of the prey to guide the population toward optimal solutions. …"
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26
An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach
منشور في 2025"…The aim of this study is to build Machine learning (ML) decision-support models to predict the optimal range of embryo numbers to transfer, using data from infertile couples identified through literature reviews. …"