Simulation parameters set analogously for all of the algorithms. حسب Sandeep Yerrathi (17775761)

Mean relative importance for the top 10 patient characteristic predictors of hospital admission across all machine learning algorithms. حسب Ryan P. Strum (12411239)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement حسب Antoine Falisse (6061601)

"…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …"

Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. حسب Yasamin Tabatabaee (18095491)

Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point. حسب Mohammed Shalaby (18297650)

Ranking of Pareto set methods on the USPS dataset based on closeness to the optimal point. حسب Mohammed Shalaby (18297650)

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. حسب Yasamin Tabatabaee (18095491)

An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction حسب Muhammad Sam'an (20649621)

Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. حسب Yasamin Tabatabaee (18095491)

Experiment 4: Evaluating CPM-based clustering methods on ring-of-cliques networks. حسب Yasamin Tabatabaee (18095491)

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization حسب James A. Lumley (9464878)

"…The comparison against all transforms in the diversity collection highlights the very low coverage of the transform database as compared to all possible transforms involving 15 atom fragments. …"

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization حسب James A. Lumley (9464878)

"…The comparison against all transforms in the diversity collection highlights the very low coverage of the transform database as compared to all possible transforms involving 15 atom fragments. …"

Experiment 4: Accuracy of modularity-based consensus clustering methods on ring-of-cliques networks of varying sizes. حسب Yasamin Tabatabaee (18095491)

Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks. حسب Yasamin Tabatabaee (18095491)

Demonstration of algorithm convergence. حسب Quyuan Wang (8724972)

"…To maintain dynamic market equilibrium, we develop two types of pricing algorithms, one based on stepped price adjustments for selected sellers, and another based on smoothed adjustments for all sellers. …"

HIV screening algorithm. حسب Wei Li A. Koay (21094209)

The flow of the SP-DRL algorithm. حسب Jie Fang (306330)

"…In addition, the calculation time of the proposed algorithm is less than 1 second in all test instances, which shows a good generalization, solution efficiency, and practical application potential.…"

Comprehensive, Open-Source, and Automated Workflow for Multisite λ‑Dynamics in Lead Optimization حسب Renling Hu (17888900)

"…To address this challenge, we developed a comprehensive, open-source, and automated workflow for MSLD calculations based on the BLaDE dynamics engine. This workflow incorporates the Ligand Internal and Cartesian coordinate reconstruction-based alignment algorithm (LIC-align) and an optimized maximum common substructure (MCS) search algorithm to accurately generate MSLD multiple topologies with ideal perturbation patterns. …"

KNN algorithm flowchart. حسب Guilian Feng (18530806)

"…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …"

MGA algorithm flowchart. حسب Guilian Feng (18530806)

"…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …"