بدائل البحث:
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
after optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), path optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based after » based water (توسيع البحث), named after (توسيع البحث), cases after (توسيع البحث)
user » used (توسيع البحث), use (توسيع البحث), uses (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
after optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), path optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based after » based water (توسيع البحث), named after (توسيع البحث), cases after (توسيع البحث)
user » used (توسيع البحث), use (توسيع البحث), uses (توسيع البحث)
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Supporting data for "clinical-oriented surgical planning based on finite element method and automate-generated surgical templates assisting the spinal surgery"
منشور في 2024"…Remaining algorithm needed was reimplemented from open-source libraries.…"
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COSMO-Bench
منشور في 2025"…<p dir="ltr"><b><i>Abstract</i></b>: Recent years have seen a focus on research into distributed optimization algorithms for multi-robot Collaborative Simultaneous Localization and Mapping (C-SLAM). …"
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Aluminum alloy industrial materials defect
منشور في 2024"…</p><h2>Description of the data and file structure</h2><p dir="ltr">This is a project based on the YOLOv8 enhanced algorithm for aluminum defect classification and detection tasks.…"
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Code
منشور في 2025"…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. The model was optimized to classify RNA sequences, achieving robust performance across multiple test sets.…"
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Core data
منشور في 2025"…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. The model was optimized to classify RNA sequences, achieving robust performance across multiple test sets.…"
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…All samples were filtered before HPLC analysis with hydrophobic filters of 0.22 μm. After several tests to optimize the distinctive cape fig betalains while reducing chromatographic time, the initial solvent composition was set to 10 % B and increasing linearly to 29 % over 15 min, then to 33 % over 5 min. …"