Comparative results of each algorithm in comparative experiment. by Junhao Wei (6816803)

“…<p>Comparative results of each algorithm in comparative experiment.</p>…”

The flowchart of QLDE algorithm. by Guanqun Wang (705958)

“…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. …”

Ablation experiments on custom dataset. by LinNa Li (5665885)

Customized dictionary. by Lu Xiao (314030)

Path length variation diagram of each algorithm. by Yun Qi (560401)

Simulation results of each algorithm path map. by Yun Qi (560401)

Specific parameters of each model and ablation experiments. by Shiwei Yu (6060308)

Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

Customized stop words list. by Lu Xiao (314030)

The detection accuracy of each ablation experiment. by Qian Shen (89639)

Schematic diagram of <i>K</i>-means algorithm. by Guanqun Wang (705958)

“…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. …”

Comparison of detection results of mainstream models on the custom dataset. by LinNa Li (5665885)

Performance comparison results of each algorithm model. by Shiya Gao (12693389)

Parameters of each algorithm. by Nanqi Li (11640083)

Customer point clustering results. by Yingbo Mao (22522192)

“…., 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. …”

Basic information of customer points. by Yingbo Mao (22522192)

“…., 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. …”

Algorithm optimization experiment matrix. by Gabriel Galeote-Checa (20613878)

“…<p>Optimization matrix for the two algorithms. Combinations for each of the parameters of the algorithm and experiments.…”

Main code. by Jingguo Bi (21439766)

Detection results of WA-YOLO and YOLOv8 on the custom-built dataset. by LinNa Li (5665885)

UIQI of the results of each algorithm. by Haiyan Zhang (176919)

“…To verify the superiority of the algorithm, we selected Bilateral, NLM, Kuan, Lee, Lee-Enhanced, and Lee-Sigma as comparison algorithms. …”