يعرض 1 - 20 نتائج من 143 نتيجة بحث عن '(( primary score based optimization algorithm ) OR ( binary based quality optimization algorithm ))', وقت الاستعلام: 0.65s تنقيح النتائج
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    Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

    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. حسب Yixuan Lu (9987980)

    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. حسب Yixuan Lu (9987980)

    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 حسب Z.Y. Algamal (5547620)

    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. حسب Afnan M. Alhassan (18349378)

    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>. حسب Yixuan Lu (9987980)

    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. حسب Nicodemus Songose Awarayi (18414494)

    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. حسب Nicodemus Songose Awarayi (18414494)

    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. حسب Olaide N. Oyelade (14047002)

    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. حسب Olaide N. Oyelade (14047002)

    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 حسب Yuwen Lyu (14330781)

    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 حسب George S. Watts (7962206)

    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. …"