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)

Algorithm steps for house price prediction model. by Xuan Wang (55634)

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The data processing and analysis pipeline. by Xin Zhang (35492)

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Schematic of the directed network flow entropy (DNFE) algorithm. by Xueqing Peng (10678527)

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

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The process of the optimization (NSGA-Ⅱ+ NLPQL). by Shangyang Jin (21772466)

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Data collision free processing unit. by Ayesha Waris (21368446)

One dimensional max pooling process. by Yu Jie Guang (22184340)

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Process of One Dimensional Convolution Operation. by Yu Jie Guang (22184340)

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MAPR of GPT compared with optimal algorithm. by Ali Abir Shuvro (21982871)

“…The experiment also concludes that some variants of the large language models currently in use are not suitable for numerical and structural data without fine-tuning their parameters.…”

Errors from the LLM and simulated algorithms. by Ali Abir Shuvro (21982871)

“…The experiment also concludes that some variants of the large language models currently in use are not suitable for numerical and structural data without fine-tuning their parameters.…”

Details of multiple GWO algorithm variants. by Genliang Li (5816264)

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Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

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Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

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Flowchart of algorithm principles. by Wenjuan Zhou (115285)

“…First, the Lasso algorithm and Pearson correlation coefficient method are applied to screen key multi-source features from wind turbine operation and maintenance data, quantifying their dynamic correlations with power output. …”

Code and data. by Shangyang Jin (21772466)

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The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

Overview of the experimental design and data processing. by Keisuke Otaki (14853535)

Parameters of NSGA-II algorithm. by Shangyang Jin (21772466)

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Flow chart of the EDR estimation algorithm. by Hongping Wei (196994)

“…This process generates feature fusion weights, which are mapped onto the three-dimensional wind matrix and used to convert the three-dimensional wind data into one-dimensional wind data, thereby achieving the fusion of three-dimensional wind features. …”