Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The material removal model based on Preston’s theory was studied, and the factors of polishing pressure, tool speed, feed speed, and sandpaper type were considered to design the manual polishing experiment. The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Data and code resources. by Sam Hall-McMaster (10343795)

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Flowchart of DBO-BPNN prediction. by Ma Haohao (22177538)

“…The material removal model based on Preston’s theory was studied, and the factors of polishing pressure, tool speed, feed speed, and sandpaper type were considered to design the manual polishing experiment. The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

The genome coding scheme. by Wenbing Shi (5806160)

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Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

“…<p>Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.</p>…”

Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

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Source Code and Dataset by Swathi Ganesan (14394924)

State and action space sizes of the robots in the experiment and the corresponding parameters of the algorithms used. by Teh Noranis Mohd Aris (22600931)

“…<p>State and action space sizes of the robots in the experiment and the corresponding parameters of the algorithms used.…”

Characteristics of the databases used in the experiments. by Loan T. T. Nguyen (20660789)

The dataset used in the experiments. by Genliang Li (5816264)

Images of brain tumors used in the experiments and their corresponding histograms. by Jiaqi Ma (773451)

The prompt used for the experiment. by Ali Abir Shuvro (21982871)

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Datasets used in the experiment [3]. by Ahmet Gürhanlı (21602042)

Performance comparison experiments with mainstream object detection algorithms. by Dongshan Jiang (21866339)

Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…Empirical experiments showed that both algorithms successfully protect the itemsets from being compromised by attackers.…”

An overview of the organization of the study program. by Marialuisa Gandolfi (8639238)

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Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. by Marialuisa Gandolfi (8639238)

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The schedule of enrolment, interventions, and assessments. by Marialuisa Gandolfi (8639238)

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Algorithm comparison experiment on the NWPU VHR-10 dataset. by Pingping Yan (462509)

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