Results 131 to 140 of about 1,773,374 (329)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
SSNFNet: An Enhanced Few-Shot Learning Model for Efficient Poultry Farming Detection
As the public increasingly focuses on healthy diets, protein-rich foods have become their preferred choice, and poultry products ideally meet this demand [...]
Bingli Wang, Daixian Liu, Jinghua Wu
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Demonstration of a genetic-algorithm-optimized cavity-based waveguide crossing [PDF]
Pengfei Xu +4 more
openalex +1 more source
INTELLIGENT NETWORKED HYBRID ELECTRIC VEHICLE OPTIMIZATION USING A LINEARIZED ECMS CONTROL ALGORITHM
Mengxiong Lu +99 more
openalex +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Optimization of the Belief-Propagation Algorithm for Distributed Detection by Linear Data-Fusion Techniques [PDF]
Younes Abdi, Tapani Ristaniemi
openalex +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source

