Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Algorithms runtime comparison. حسب Meilin Zhu (688698)

"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"

Solution results of different algorithms. حسب Meilin Zhu (688698)

"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"

Model 1 performance for each fold of training and testing. حسب Jamison H. Burks (21029607)

الموضوعات:

Model 2 performance for each fold of training and testing. حسب Jamison H. Burks (21029607)

الموضوعات:

Statistical test results for multimodal matching accuracy (based on 5-fold cross-validation, n = 5). حسب Qingnan Ji (22662198)

Flowchart of the RIR algorithm. حسب Jiamin Hu (8972420)

"…On this basis, we model the ARS problem as a data-driven optimal control problem, aiming to realize both learning and prediction of propagation parameters based on network traffic data observed at multiple discrete time slots and control of IoT botware propagation to a desired infection level. …"

S1 File - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing under data-dri... حسب Meilin Zhu (688698)

The details of experiment datasets. حسب Wei Xingqiong (21492703)

"…First, it requires a cutoff distance to calculate local density, and this parameter varies across datasets, which requires manual tuning and affects the algorithm’s performance. Second, the number of cluster centers must be manually specified, as the algorithm cannot automatically determine the optimal number of clusters, making the algorithm dependent on human intervention. …"

Parameter Settings for Comparative Experiments. حسب Wei Xingqiong (21492703)

"…First, it requires a cutoff distance to calculate local density, and this parameter varies across datasets, which requires manual tuning and affects the algorithm’s performance. Second, the number of cluster centers must be manually specified, as the algorithm cannot automatically determine the optimal number of clusters, making the algorithm dependent on human intervention. …"

pone.0323574.t014 - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing unde... حسب Meilin Zhu (688698)

pone.0323574.t016 - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing unde... حسب Meilin Zhu (688698)

pone.0323574.t015 - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing unde... حسب Meilin Zhu (688698)

Flow chart of edge folding algorithm. حسب Cuiying Zhou (10048078)

Experiment Settings. حسب Jin Wang (29560)

الموضوعات:

Results of multi-view combined experiments. حسب Tao Yu (176965)

"…<div><p>In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. …"

Colonial Judicial Legacy as a Latent Challenge for the Adoption of Algorithmic Sentencing in African Courts حسب Okechukwu (Jake) Effoduh (16987044)

"…AI tools like “Little Judge Bao” are used to provide sentencing recommendations and assist judges in making decisions based on big data and predictive algorithms. …"

The evaluation of experiments. حسب Jiamin Hu (8972420)

"…On this basis, we model the ARS problem as a data-driven optimal control problem, aiming to realize both learning and prediction of propagation parameters based on network traffic data observed at multiple discrete time slots and control of IoT botware propagation to a desired infection level. …"

Comparative experiment. حسب Bo Tong (2138632)

Pruning experiment. حسب Bo Tong (2138632)