Processed results from ECG data with the P-T algorithm. حسب Daehyun Kwon (11985629)

Goal relevance. حسب Maeva El Bouchikhi (20442436)

"…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …"

The structure of FasterNext. حسب Junjie Lu (160350)

"…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …"

Data labeling. حسب Saad Hammood Mohammed (20623506)

"…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…"

Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)

Multi-sensor fusion process and algorithm workflow. حسب Hongliang Zou (20707270)

Hyperparameter settings. حسب Qingnan Ji (22662198)

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Initial weight values and correlation thresholds. حسب Qingnan Ji (22662198)

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Ablation experiment results comparison. حسب Qingnan Ji (22662198)

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Adjustment step size. حسب Qingnan Ji (22662198)

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Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

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Quantity of data sources. حسب Christina Halmich (21637790)

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Data augmentation methods. حسب Christina Halmich (21637790)

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Flow chart of the search process. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

Data Sheet 1_IGSA-SAC: a novel approach for intrusion detection using improved gravitational search algorithm and soft actor-critic.docx حسب Lizhong Jin (20991293)

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …"

Model-relevant variable data for external patients. حسب Lei Gao (6566)

Relevant data underlying the findings described in manuscript. حسب Lin Qi (128224)