Optimize process data and final results by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Vehicle-related parameters. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Device parameter list. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

The process of IHWGWO. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

The computational results of the case. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Statistical data of the MS on CF1-10. by Yanqin Fan (7515125)

Statistical data of the SP on UF1-10. by Yanqin Fan (7515125)

Statistical data of the IGD on UF1-10. by Yanqin Fan (7515125)

Statistical data of the IGD on CF1-10. by Yanqin Fan (7515125)

Statistical data of the SP on CF1-10. by Yanqin Fan (7515125)

Statistical data of the MS on UF1-10. by Yanqin Fan (7515125)

Reflection matrix microscopy data and CLASS algorithms by Sungsam Kang (18931031)

“…Implementation of reflection matrix microscopy: An algorithm perspective. <i>J. Phys.: Photonics</i> (2025) doi:10.1088/2515-7647/adb7af</a>).…”

Differential gene analysis and functional enrichment of the GSE775 dataset over time using the ClusterGVis package. by Wenlong Kuang (20485167)

Subjects:

Scatter plots of PATH⁺ and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... by Yuxi Long (11024307)

Enhancements to SarcGraph’s z-disc segmentation pipeline. by Saeed Mohammadzadeh (13492285)

Workflow for identifying ortholog expression, expression models, and key regulators in <i>S. lycopersicum</i> and <i>S. pennellii.</i> by J. Sebastián Contreras-Riquelme (21395362)

Expression patterns of four key genes (<i>CEBPD</i>, <i>SOCS2</i>, <i>THBS1</i>, and <i>IFIT2</i>) across different liver cell types. by Junjie Su (368807)

Subjects:

<b>Supplementary material for "Modified nonlocal strain gradient theory for static bending, free vibration and buckling analysis of functionally graded piezoelectric nanoplates"</b... by Phạm Văn Vinh (19543726)

“…Both nonlocal (softening) and strain gradient (hardening) effects are considered simultaneously in this novel theory. …”

Data Sheet 1_Functional partitioning through competitive learning.pdf by Marius Tacke (22563344)

“…We propose a novel partitioning algorithm that utilizes competition between models to detect and separate these functional patterns. …”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”