Flowchart of the solving process. by Ze Ye (4734660)

CBR problem-solving process. by Dongling Ma (1269888)

Pareto frontier solution solving process. by Yuhang Wang (332111)

Solving procedure for the solution of a cavity expansion process. by Baojian Li (2407705)

Kinetic Models in Anaerobic Digestion Process: Solving Methods, Applications, and Potential Integration with Machine Learning by Xuan Guo (1791202)

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Preprocessed texts. by Na Wang (193263)

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Summary of data before and after preprocessing. by Riaz Ud Din (21101290)

The types, sources, and processing methods of the data used in this study. by Xiaodan Li (132227)

Solving flow chart of the IBBPSO algorithm. by Kuiyuan Pan (21145338)

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Preprocessed AIS trajectory data plotted as latitude versus longitude. by Umar Zaman (19859645)

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The comparison of these thickening methods. by Xiaoben Chen (21485314)

“…However, there are currently no reports on using additive manufacturing technology to optimize pipeline ellipticity and improve pipe end strength and stiffness. This article solves the problem of weak weld strength at the connection end of oil pipelines and proposes for the first time the method of using arc additive manufacturing technology to thicken and reinforce the pipe end. …”

Feature preprocessing methods. by Shenglan Tang (707472)

Overlapping sampling process. by Chao Zeng (452370)

“…The main challenges include deficiency of data acquisition, signal features extracting complex process, and insufficient robustness of models. To enhance the precision of forecasting consequence, a circular saw blade wear prediction method combining generative adversarial network (GAN) and CNN-LSTM models is proposed. …”

Solving Bayesian Inverse Problems Using Gaussian Process Regression with Goal-Oriented Active Learning by Paul Lartaud (22271571)

The frame of the method in this paper is composed of four parts: data preprocessing, feature selection, classifier modeling and prediction. by Jinyu Wen (10785855)

Optimization process of the DGN method. by Shangyang Jin (21772466)

“…Therefore, this optimization method provides a new idea for the design and performance regulation of metamaterials.…”

Three Remarkable Characteristics Covering Three Demands and Solving Three Challenges. by Robert M. X. Wu (12009144)

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Model parameter settings. by Dinghong Mu (14204200)

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Artifact for the IJCAI 2024 paper "Solving Long-run Average Reward Robust MDPs via Stochastic Games" by Krishnendu Chatterjee (15367413)

Distribution of student performance categories based on parental involvement levels. by Xiaoyi Zhang (577299)

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