بدائل البحث:
learning functions » hearing functions (توسيع البحث), learning fusion (توسيع البحث), learning predictions (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
learning functions » hearing functions (توسيع البحث), learning fusion (توسيع البحث), learning predictions (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
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Lens imaging opposition-based learning.
منشور في 2025"…Experimental validation shows that on 23 benchmark functions and the CEC2022 test suite, MESBOA significantly outperforms the original Secretary Bird Optimization Algorithm (SBOA) and other comparative algorithms (such as GWO, WOA, PSO, etc.) in terms of convergence speed, solution accuracy, and stability. …"
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Parameterization of the feature selection algorithm.
منشور في 2025الموضوعات: "…continuous optimization algorithm…"
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Comparison of metaheuristic algorithm parameterization.
منشور في 2025الموضوعات: "…continuous optimization algorithm…"
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91
The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025الموضوعات: "…continuous optimization algorithm…"
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92
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Comparative experimental data of loss functions.
منشور في 2025"…<div><p>An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …"
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Multimodal reference functions.
منشور في 2025"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"
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The structure of genetic algorithm (GA).
منشور في 2024"…First, physico-chemical inputs as bulk density (BD), initial water content (W<sub>i</sub>), saturated water content (W<sub>s</sub>), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"
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DMTD algorithm.
منشور في 2025"…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"
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100