Results 241 to 250 of about 9,098,713 (311)
Microwave drying effects on modeling thin-layer drying kinetics, energy efficiency analysis, and physical properties of garlic. [PDF]
El-Mesery HS +6 more
europepmc +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]
Suchý I, Turčaník M.
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Impacts of variable operating conditions on flux and energy efficiency of air gap membrane distillation for brine management. [PDF]
Mohamed ES +8 more
europepmc +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Mobile Network Softwarization: Technological Foundations and Impact on Improving Network Energy Efficiency. [PDF]
Lorincz J, Kukuruzović A, Begušić D.
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Sustainable utilization of fly ash in AA8011 metal matrix composites for enhanced wear performance: implications for energy efficiency and resource optimization. [PDF]
Bhowmik A +8 more
europepmc +1 more source

