Results 151 to 160 of about 86,307 (298)
Advanced Engineering Materials, EarlyView.This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source
A cost-effectiveness criterion for applying software defect prediction models
, 2013 Ideally, software defect prediction models should help organize software quality assurance (SQA) resources and reduce cost of finding defects by allowing the modules most likely to contain defects to be inspected first.
Hongyu Zhang +3 more
core +1 more source
Deep Learning-Based Defect Prediction for Mobile Applications. [PDF]
Sensors (Basel), 2022 Jorayeva M +3 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.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
Tibial bone defect prediction based on preoperative artefact-reduced CT imaging is superior to standard radiograph assessment. [PDF]
Knee Surg Sports Traumatol Arthrosc, 2023 Brenneis M +7 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Ensemble Machine Learning Paradigms in Software Defect Prediction
Procedia Computer Science, 2023 Tarunim Sharma +3 more
semanticscholar +1 more source
A just-in-time software defect prediction method based on data augmentation
Nantong Daxue xuebao. Ziran kexue banJust-in-time (JIT) software defect prediction aims to predict whether code commits during project development and maintenance will introduce defects.In the field of JIT software defect prediction research,model training relies on high-quality datasets ...
YANG Fan; XIA Hongling
doaj +1 more source
Fine-Grained Software Defect Prediction Based on the Method-Call Sequence. [PDF]
Comput Intell Neurosci, 2022 Yang F, Huang Y, Xu H, Xiao P, Zheng W.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat +7 more
wiley +1 more source