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

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

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

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

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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)

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

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

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

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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. …”

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. …”

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

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

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

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The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

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)

Model establishment of the human heart. by Hang Zhao (143592)

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Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

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