Results 221 to 230 of about 1,413,465 (300)
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
Scaling Analysis of Seismic Ground Motion Signals. [PDF]
Paradiso G +4 more
europepmc +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
MonuSegFormer: A Hybrid Swin-Transformer Architecture for Semantic Segmentation of Moroccan Cultural Heritage Monuments. [PDF]
Choukhairi O +3 more
europepmc +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
Modular constraint-based joint dynamic functional brain graph learning model for identifying brain disorders. [PDF]
Xu P, Li Y, Si W, Wang L, Jiang X.
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Emotion recognition from body movement through interpretable motion-aware sequential modeling. [PDF]
Esteban-Romero S +4 more
europepmc +1 more source

