بدائل البحث:
based optimization » whale optimization (توسيع البحث)
binary marker » binary mask (توسيع البحث)
marker based » cancer based (توسيع البحث), paper based (توسيع البحث), water based (توسيع البحث)
final target » viral target (توسيع البحث), single target (توسيع البحث), visual target (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary marker » binary mask (توسيع البحث)
marker based » cancer based (توسيع البحث), paper based (توسيع البحث), water based (توسيع البحث)
final target » viral target (توسيع البحث), single target (توسيع البحث), visual target (توسيع البحث)
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Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF
منشور في 2021"…To date, there have been no reports on integrated optimization analysis based on the GC global lncRNA-miRNA-mRNA network and the prognostic mechanism has not been studied. …"
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Parameter values of the compared algorithms.
منشور في 2025"…Then, we proposed a feature extraction method to extract time-frequency-based statistical (TF-ST) features from dynamic handwriting features in terms of their temporal and frequency characteristics. Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …"
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Parameter settings.
منشور في 2024"…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. It has proven its efficacy in tackling diverse problems across various fields and real-world applications. …"
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Image_1_On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell.TIF
منشور في 2021"…We overcome the intrinsic limitations of the extant optimization methods by proposing an alternative optimization component based on multimodal algorithms. …"
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Pd-Modified Microneedle Array Sensor Integration with Deep Learning for Predicting Silica Aerogel Properties in Real Time
منشور في 2025"…The final performance evaluation demonstrated an optimal alignment between true and predicted values for silica aerogel properties, with a mean absolute percentage error of approximately 0.9%. …"
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The flowchart of eCOA.
منشور في 2025"…Then, we proposed a feature extraction method to extract time-frequency-based statistical (TF-ST) features from dynamic handwriting features in terms of their temporal and frequency characteristics. Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …"