Search Results for author:
Found 5 papers, 1 papers with code
Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
In order to understand the working of the machine learning model and the influence of all parameters on the geometrical characteristics of inclined buoyant jets, the SHAP feature interpretation method was used.
Machine learning based surrogate models for microchannel heat sink optimization
Overall, we have demonstrated that the proposed framework has merit and can be used as a viable methodology in microchannel heat sink design optimization.
Predictive modeling of microbiological seawater quality classification in karst region using cascade model
Currently, the cascade model is employed as a filter method, where measurements not classified as excellent quality need to be further analyzed.
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Finally, the spatial and temporal accuracy of both ML models were examined at sites with the lowest coastal water quality.
Introducing languid particle dynamics to a selection of PSO variants
Previous research showed that conditioning a PSO agent's movement based on its personal fitness improvement enhances the standard PSO method.
