Receiver operating characteristic (ROC) curves were used to evaluate the top 5 EP-DEGs with the most occurrence in different algorithms. حسب Shasha He (833918)

"…<p>Receiver operating characteristic (ROC) curves were used to evaluate the top 5 EP-DEGs with the most occurrence in different algorithms.…"

Manhattan delivery route. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

Vehicle delivery routes. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

K-means clustering method based on PCA algorithm. حسب Elmira Bagheri (20553110)

الموضوعات:

Changes of risk value under different parameters. حسب Yang Yu (4292)

Vehicle-only delivery routes. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

UAV-only delivery routes. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

Comparison of forwarding delays for service recovery of different priorities. حسب Yang Yu (4292)

Delivery route diagram of Stage 4. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

UAV delivery routes in Phase 2. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

Natural driving test route. حسب Yongjian Zhang (3986126)

"…Using braking deceleration and time to collision, we identified near-crash events and classified them into high, medium, and low severity levels using the DBSCAN clustering algorithm. …"

Comparison of delivery route results under different scenarios. حسب Yingbo Mao (22522192)

Final delivery routes of vehicle-assisted UAVs. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

Initial vehicle delivery routes in Phase 3. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

Delivery plans for different vehicles. حسب Yingbo Mao (22522192)

"…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …"

Specifications of sample routes. حسب Elmira Bagheri (20553110)

الموضوعات:

Comparison of F1 score, Precision, Recall, and AUC for different advanced capsule network routing algorithms (baseline) and their improvements with our method across various datasets. حسب Hailei Yuan (21608693)

"…<p>Comparison of F1 score, Precision, Recall, and AUC for different advanced capsule network routing algorithms (baseline) and their improvements with our method across various datasets.…"

Comparison of the original images and visualizations from different capsule groups. حسب Hailei Yuan (21608693)

Experimental results evaluating the impact of different group numbers in the proposed DC-CapsNet. The results demonstrate how varying the number of groups affects classification ac... حسب Hailei Yuan (21608693)

A more realistic variant of capacitated vehicle routing problem: Methodology and a case study حسب Yu Wu (54264)

"…To be precise, first we use GA to generate the initial solution, with a novelty greedy-based decoding algorithm; second, through defining four different types of neighborhood structures, the GA-generated initial solution is iteratively improved through the VNS. …"