بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
driven optimization » guided optimization (توسيع البحث), dose optimization (توسيع البحث), process optimization (توسيع البحث)
image design » images designed (توسيع البحث), simple design (توسيع البحث), space design (توسيع البحث)
primary data » primary care (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
driven optimization » guided optimization (توسيع البحث), dose optimization (توسيع البحث), process optimization (توسيع البحث)
image design » images designed (توسيع البحث), simple design (توسيع البحث), space design (توسيع البحث)
primary data » primary care (توسيع البحث)
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Sample image for illustration.
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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Quadratic polynomial in 2D image plane.
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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Comparison analysis of computation time.
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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Process flow diagram of CBFD.
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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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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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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Data used to drive the Double Layer Carbon Model in the Qinling Mountains.
منشور في 2024"…The model divides the soil profile into topsoil (0-20 cm) and subsoil (20–100 cm) layers to match the SOC maps of the corresponding two layers generated by data-driven models. Each of these layers contains a young carbon pool (CY) with a higher decomposition rate and an old carbon pool (CO) with a lower decomposition rate. …"
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Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning
منشور في 2021"…Furthermore, it reflects strong potentialities to develop data-driven individualized chemotherapy treatments in the future.…"
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Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning
منشور في 2021"…Furthermore, it reflects strong potentialities to develop data-driven individualized chemotherapy treatments in the future.…"
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