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

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Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Overview of the proposed methodology for the ML regressor selection process and model evaluation. by Marwah Salman (22593380)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…Finally, a transformer diagnostic model based on SSA-LightGBM was constructed, and the ten fold cross validation method was used to verify the classification ability of the model. …”

Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Algorithm assessment of temporal drought class using TPM. by Muhammad Asif Khan (7367468)

Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

Action potential of sample points in model 1. by Hang Zhao (143592)

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Action potential of sample points in model 2. by Hang Zhao (143592)

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Action potential of sample points in model 0. by Hang Zhao (143592)

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

“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”

Solving process of gradient-based search. by Tarun Khajuria (12117309)

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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)

Comparison of transfer model results of one flood process. by Qun Zhao (603175)

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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…<p dir="ltr"><b>anvisa2014_2020</b>: This is a pre processed data from the sales data of industrial pharmaceuticals from SNGPC, Brazil's data.…”

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. …”

Data after data processing. by Jiaqi Wang (369548)

“…Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …”