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

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

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

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

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

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Execution time of the BMDD algorithm. حسب Huijuan Zhou (5745020)

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Computational efficiency benchmarking of imputation algorithms. حسب Siyi Huang (8562174)

Computational efficiency benchmarking of imputation algorithms. حسب Siyi Huang (8562174)

Analysis of single features of vehicle movement. حسب Yaqin He (4627711)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

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The genome coding scheme. حسب Wenbing Shi (5806160)

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Runtime (s) of 12 algorithms across six datasets. حسب Siyi Huang (8562174)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Runtime (s) of 12 algorithms across datasets of varying sizes. حسب Siyi Huang (8562174)

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Covering solutions from running the genetic algorithm with different optimal hyperparameters. حسب Bettina Soós (10860933)

"…Each figure presents a solution of the genetic algorithm, with hyperparameters selected such that solutions are drifted in favor of some of the objectives (high fidelity, high sparsity, or both).…"