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)
complex custom » complex fusion (توسيع البحث)
cc3d algorithm » cscap algorithm (توسيع البحث), cnn algorithm (توسيع البحث), wold algorithm (توسيع البحث)
elements cc3d » elements crcy (توسيع البحث), elements ices (توسيع البحث), elements uce (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (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)
complex custom » complex fusion (توسيع البحث)
cc3d algorithm » cscap algorithm (توسيع البحث), cnn algorithm (توسيع البحث), wold algorithm (توسيع البحث)
elements cc3d » elements crcy (توسيع البحث), elements ices (توسيع البحث), elements uce (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
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The flowchart of QLDE algorithm.
منشور في 2025"…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …"
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Schematic diagram of <i>K</i>-means algorithm.
منشور في 2025"…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …"
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Customer point clustering results.
منشور في 2025"…., airports, government agencies, and high-voltage power lines) severely limit the application scope of UAVs and increase the complexity of path planning. Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. …"
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Basic information of customer points.
منشور في 2025"…., airports, government agencies, and high-voltage power lines) severely limit the application scope of UAVs and increase the complexity of path planning. Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. …"
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Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)
منشور في 2025"…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …"
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The proportion of different customer categories.
منشور في 2025"…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …"
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