نمایش نتایج جستجو برای
نویسنده: hosseinali kamali
موارد یافت شده: 9
1 - Identification of cavitation regimes using SVM: A combined numerical, experimental and machine learning approach (چکیده)2 - Characterization of ventilated supercavitation regimes using Bayesian optimized Random Forest models (چکیده)
3 - Optimization random forest model for air entrainment hysteresis prediction in ventilated cavitation using genetic and particle swarm along with experimental observations and numerical simulations of the hysteresis loop (چکیده)
4 - Innovative optimization of parabolic cavitators: Improving hydrodynamic efficiency and supercavity qualitycavitatio (چکیده)
5 - Experimental and numerical analysis of cavitator angle effects on artificial cavitation characteristics under low ventilation coefficients, with prediction using optimized random forest and extreme gradient boosting models (چکیده)
6 - Analyzing the influence of dimensions of the body behind the cavitator on ventilated cavitation (چکیده)
7 - Effect of the arrangement of the injectors on the flow quantities in water injection into the hot supersonic crossflow inside the cylinder (چکیده)
8 - The experimental and numerical studies of formation and collapse processes of ventilated supercavitating flow (چکیده)
9 - Investigating the interaction parameters on ventilation supercavitation phenomena: Experimental and numerical analysis with machine learning interpretation (چکیده)
