Event-driven data flow processing. by Yixian Wen (12201388)

Subjects:

Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Prediction performance compared with the CART algorithm. by Yixian Wen (12201388)

Subjects:

Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Subjects:

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

Subjects:

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…In addition, during the training process, it was found that both the server aggregation algorithm and the client knowledge graph embedding model performance can affect the overall performance of the algorithm.Therefore, a new server aggregation algorithm and knowledge graph embedding model RFE are proposed. …”

Prediction performance compared with random forest algorithm. by Yixian Wen (12201388)

Subjects:

Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

Schematic diagram of the SARIMA algorithm flow. by Yongxin Dai (13796385)

Subjects:

Noise reduction by the sliding average algorithm. by Yongxin Dai (13796385)

Subjects:

Algorithms runtime comparison. by 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. …”

User satisfaction scores for different algorithms. by Qingnan Ji (22662198)

Subjects:

Solution results of different algorithms. by 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. …”

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

Subjects:

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

Subjects:

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-driven by Meilin Zhu (688698)