بدائل البحث:
testing optimization » routing optimization (توسيع البحث), learning optimization (توسيع البحث), design optimization (توسيع البحث)
cell optimization » field optimization (توسيع البحث), wolf optimization (توسيع البحث), lead optimization (توسيع البحث)
based testing » care testing (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
testing optimization » routing optimization (توسيع البحث), learning optimization (توسيع البحث), design optimization (توسيع البحث)
cell optimization » field optimization (توسيع البحث), wolf optimization (توسيع البحث), lead optimization (توسيع البحث)
based testing » care testing (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
منشور في 2019"…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …"
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A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …"
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QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm
منشور في 2020"…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …"
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