Results 21 to 30 of about 277,827 (338)
The role of screened exact exchange in accurately describing properties of transition metal oxides: Modeling defects in LaAlO3 [PDF]
, 2013 The properties of many intrinsic defects in the wide band gap semiconductor LaAlO3 are studied using the screened hybrid functional of Heyd, Scuseria, and Ernzerhof (HSE).
Brothers, Edward N. +3 more
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Causally Remove Negative Confound Effects of Size Metric for Software Defect Prediction
Applied Sciences, 2022 Software defect prediction technology can effectively detect potential defects in the software system. The most common method is to establish machine learning models based on software metrics for prediction.
Chenlong Li, Yuyu Yuan, Jincui Yang
doaj +1 more source
Extended Defects in the Potts-Percolation Model of a Solid: Renormalization Group and Monte Carlo Analysis [PDF]
, 2009 We extend the model of a 2$d$ solid to include a line of defects. Neighboring atoms on the defect line are connected by ?springs? of different strength and different cohesive energy with respect to the rest of the system.
A. A. Migdal +5 more
core +6 more sources
Feature-oriented defect prediction
Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A, 2020 Software errors are a major nuisance in software development and can lead not only to reputation damages, but also to considerable financial losses for companies. Therefore, numerous techniques for predicting software defects, largely based on machine learning methods, have been developed over the past decades. These techniques usually rely on code and
Strüder, S. +3 more
openaire +2 more sources
Methodological Assessment of Data Suitability for Defect Prediction
Kvalita Inovácia Prosperita, 2020 Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.
Peter Schlegel +3 more
doaj +1 more source
IEEE Access, 2023 Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance.
Touseef Tahir +6 more
doaj +1 more source
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction
Journal of Intelligent Systems, 2014 Predicting the defect-prone modules when the previous defect labels of modules are limited is a challenging problem encountered in the software industry. Supervised classification approaches cannot build high-performance prediction models with few defect
Catal Cagatay
doaj +1 more source
Defect Detection Model Using CNN and Image Augmentation for Seat Foaming Process
Mathematics, 2023 In the manufacturing industry, which is facing the 4th Industrial Revolution, various process data are being collected from various sensors, and efforts are being made to construct more efficient processes using these data. Many studies have demonstrated
Nak-Hun Choi +2 more
doaj +1 more source
Sensors, 2023 This paper presents an advanced methodology for defect prediction in radiographic images, predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on fluctuation sensitivity.
Zhongyu Shang +3 more
doaj +1 more source
First principles theory of the EPR g-tensor in solids: defects in quartz [PDF]
, 2001 A theory for the reliable prediction of the EPR g-tensor for paramagnetic defects in solids is presented. It is based on density functional theory and on the gauge including projector augmented wave (GIPAW) approach to the calculation of all-electron ...
Mauri, Francesco, Pickard, Chris J.
core +3 more sources