Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

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

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. 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: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. 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: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. 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. …”

Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf by Jan Benedict Spannenkrebs (20595722)

“…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. Although robotics can significantly speed up the data collection process, the collation and analysis of the resulting data, needed to reprogram and refine workflows for future iterations, is often a manual process. …”

Data Sheet 1_Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms.zip by Weicheng Pan (12629762)

Data (3). by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

Curve of data size vs. running time. by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

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

Data labeling. by 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.…”

Data description and sources. by Xiaodan Li (132227)

Hyperparameter settings. by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

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

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

Ablation experiment results comparison. by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

Adjustment step size. by Qingnan Ji (22662198)

“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”

The standard characteristics of study table. by Xinrui Li (443177)

“…Data reliability was ensured through a stringent cross-verification process whereby two independent researchers validated all AI-generated content against original source materials. …”

The terms used in the database search. by Xinrui Li (443177)

“…Data reliability was ensured through a stringent cross-verification process whereby two independent researchers validated all AI-generated content against original source materials. …”

Abstracts of relevant literature. by Meilin Zhu (688698)

Comprehensive Mass Spectrometry Workflows to Systematically Elucidate Transformation Processes of Organic Micropollutants: A Case Study on the Photodegradation of Four Pharmaceutic... by Rick Helmus (1636480)

“…Semi-quantitation suggested that the TPs explained a relevant part of the parent removal. The developed workflows are a step toward systematic comprehensive analysis of transformation processes in water and beyond. …”