بدائل البحث:
quality optimization » policy optimization (توسيع البحث), whale optimization (توسيع البحث), path optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary score » primary care (توسيع البحث), primary school (توسيع البحث), primary screen (توسيع البحث)
based quality » care quality (توسيع البحث), seed quality (توسيع البحث), bone quality (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
quality optimization » policy optimization (توسيع البحث), whale optimization (توسيع البحث), path optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary score » primary care (توسيع البحث), primary school (توسيع البحث), primary screen (توسيع البحث)
based quality » care quality (توسيع البحث), seed quality (توسيع البحث), bone quality (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
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Features selected by optimization algorithms.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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Score of evaluation level.
منشور في 2023"…Simultaneously, based on the concept of dynamic weighting, a multiple linear regression is introduced for analyzing the weights of similar projects, resulting in the derivation of universal weights for the primary indicators within the evaluation system. …"
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Expert scoring flow chart.
منشور في 2023"…Simultaneously, based on the concept of dynamic weighting, a multiple linear regression is introduced for analyzing the weights of similar projects, resulting in the derivation of universal weights for the primary indicators within the evaluation system. …"
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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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Hybrid feature selection algorithm of CSCO-ROA.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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Expert scoring values of criterion layer U<sub>1</sub>.
منشور في 2023"…Simultaneously, based on the concept of dynamic weighting, a multiple linear regression is introduced for analyzing the weights of similar projects, resulting in the derivation of universal weights for the primary indicators within the evaluation system. …"
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ROC curve for binary classification.
منشور في 2024"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
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Confusion matrix for binary classification.
منشور في 2024"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
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Datasets and their properties.
منشور في 2023"…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …"
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Parameter settings.
منشور في 2023"…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …"
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Data_Sheet_1_Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.pdf
منشور في 2023"…At the same time, the comprehensive evaluation index F1-score of the DT algorithm are 0.80, 0.61, 0.58, 0.60, the KNN algorithm are 0.75, 0.65, 0.71, 0.84, and the SVM algorithm are 0.81, 0.74, 0.73, 0.94.…"
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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. …"