بدائل البحث:
within function » fibrin function (توسيع البحث), python function (توسيع البحث), protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
both function » body function (توسيع البحث), growth function (توسيع البحث), beach function (توسيع البحث)
algorithm a » algorithms a (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
a function » _ function (توسيع البحث)
within function » fibrin function (توسيع البحث), python function (توسيع البحث), protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
both function » body function (توسيع البحث), growth function (توسيع البحث), beach function (توسيع البحث)
algorithm a » algorithms a (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
a function » _ function (توسيع البحث)
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Functional Projection <i>K</i>-means
منشور في 2025"…<p>A new technique for simultaneous clustering and dimensionality reduction of functional data is proposed. …"
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107
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108
The convergence curves of the test functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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109
Single-peaked reference functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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110
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A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment
منشور في 2025"…This dataset is intended to foster research into innovative methods for assessing heart function, particularly in arrhythmic conditions, and to contribute to the development of more accurate, cost-effective, and accessible monitoring solutions for both clinical and home-based settings. …"
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113
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Fitness comparison on test function.
منشور في 2025"…The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …"
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116
Identification and functional analysis of hub genes.
منشور في 2025"…(C, D) Top 10 hub genes identified using the Maximal Clique Centrality (MCC) algorithm; darker colors indicate higher centrality within the PPI network. …"
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117
Test results of multimodal benchmark functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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118
Fixed-dimensional multimodal reference functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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119
Test results of multimodal benchmark functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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120