بدائل البحث:
custom algorithm » fusion algorithm (توسيع البحث), control algorithm (توسيع البحث), lasso algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
experiments ns » experiments _ (توسيع البحث), experiments 1 (توسيع البحث), experiments p (توسيع البحث)
ns algorithm » anbs algorithm (توسيع البحث), new algorithm (توسيع البحث), pso algorithm (توسيع البحث)
custom algorithm » fusion algorithm (توسيع البحث), control algorithm (توسيع البحث), lasso algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
experiments ns » experiments _ (توسيع البحث), experiments 1 (توسيع البحث), experiments p (توسيع البحث)
ns algorithm » anbs algorithm (توسيع البحث), new algorithm (توسيع البحث), pso algorithm (توسيع البحث)
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Customer point clustering results.
منشور في 2025"…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …"
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Basic information of customer points.
منشور في 2025"…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …"
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Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"
منشور في 2024"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"
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