Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

The flowchart of QLDE algorithm. حسب 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. حسب LinNa Li (5665885)

Customized dictionary. حسب Lu Xiao (314030)

Data and code resources. حسب Sam Hall-McMaster (10343795)

Customized stop words list. حسب Lu Xiao (314030)

Schematic diagram of <i>K</i>-means algorithm. حسب 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. حسب LinNa Li (5665885)

Customer point clustering results. حسب 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. حسب 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. …"

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

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Impact of multiunit merging on neural information encoding. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

pone.0324343.t013 - An improved hybrid artificial bee colony algorithm for a multi-supplier closed-loop location inventory problem with customer returns حسب Hao Guo (346528)

الموضوعات:

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب Yize Wang (19535173)

"…<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>…"

code_4 حسب Olga Ovtsarenko (20432033)

The proportion of different customer categories. حسب 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. …"