Braking system model. حسب Honglei Pang (22693724)

الموضوعات:

Vehicle parameters. حسب Honglei Pang (22693724)

الموضوعات:

HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. حسب Honglei Pang (22693724)

الموضوعات:

Comparison of average reward values in various simulation scenarios. حسب Honglei Pang (22693724)

الموضوعات:

HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. حسب Honglei Pang (22693724)

الموضوعات:

Comparison of covariates versus brain imaging data in the classification of ASD before and after matching. حسب Oualid Benkarim (9707986)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

الموضوعات:

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

PSO algorithms flowchart. حسب Mohammed F. Elnaggar (18297954)

Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. حسب Alexander Borst (32619)

Comparison of computational cost between SBOA and MESBOA. حسب Yuqi Xiong (12343771)

الموضوعات:

-value on CEC2022 (dim = 20). حسب Yuqi Xiong (12343771)

الموضوعات:

Flowchart of low-light image enhancement based on MESBOA. حسب Yuqi Xiong (12343771)

الموضوعات:

Flowchart of low-light image enhancement based on MESBOA. حسب Yuqi Xiong (12343771)

الموضوعات:

Precision elimination strategy. حسب Yuqi Xiong (12343771)

الموضوعات:

Results of low-light image enhancement test. حسب Yuqi Xiong (12343771)

الموضوعات:

Evaluation metrics obtained by SBOA and MESBOA. حسب Yuqi Xiong (12343771)

الموضوعات: