Results 281 to 290 of about 277,827 (338)

Clinical characteristics and factors associated with dentition defects in patients with diabetes mellitus and concomitant endodontic disease. [PDF]

Am J Transl Res
Deng X, Min M, Cai Y.
europepmc   +1 more source

ML Based Software Defect Prediction in Embedded Software for Telecommunication Systems(Focusing on the Case of SAMSUNG ELECTRONICS)

Hongkoo Kang, Sungryong Do
openalex   +2 more sources

Enhanced Multi-Scale Defect Detection in Steel Surfaces via Innovative Deep Learning Architecture. [PDF]

Sensors (Basel)
Zhou Z, Cao Y.
europepmc   +1 more source

Computational and experimental pathways to next-generation ultrawide-band-gap oxide semiconductors. [PDF]

Nano Converg
Chae S, Kim J, Anderson JR, Hong S, Banad YM, Paik H.   +5 more
europepmc   +1 more source

Comparative Performance Evaluation of Linear, Bagging, and Boosting Models Using BorutaSHAP for Software Defect Prediction on NASA MDP Datasets

Najla Putri Kartika, Rudy Herteno, Iman Budiman, Dodon Turianto Nugrahadi, Friska Abadi, Umar Ali Ahmad, Mohammad Reza Faisal   +6 more
openalex   +2 more sources

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Multitask defect prediction

Journal of Software: Evolution and Process, 2019
AbstractWithin‐project defect prediction assumes that we have sufficient labeled data from the same project, while cross‐project defect prediction assumes that we have plenty of labeled data from source projects. However, in practice, we might only have limited labeled data from both the source and target projects in some scenarios.
Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao   +4 more
openaire   +1 more source

Prediction of Persisting Speech Defect

International Journal of Language & Communication Disorders, 1973
SummaryA predictive articulation screening test was devised for school entrants to find out if, by its use it would be possible to select for speech therapy only those children whose speech was unlikely to improve quickly, i.e. during their first two terms in school.Ten separate tests regarded as being predictive of speech improvement were tried out ...
C E, Renfrew, L, Geary
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Enhancing Defect Prediction with Static Defect Analysis

Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015
In the software development process, how to develop better software at lower cost has been a major issue of concern. One way that helps is to find more defects as early as possible, on which defect prediction can provide effective guidance. The most popular defect prediction technique is to build defect prediction models based on machine learning.
Hao Tang, Tian Lan, Dan Hao, Lu Zhang
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A Three-Stage Defect Prediction Model for Cross-Project Defect Prediction

2017 International Conference on Dependable Systems and Their Applications (DSA), 2017
Aiming at dealing with the problems of the data deficiency, data high dimensionality in software defect prediction (SDP), this paper proposes a novel three-stage defect prediction model. First we introduced the information flow algorithm (IFA) to do the causality analysis to choose the most representative feature subset.
Song Huang, Yaning Wu, Haijin Ji, Chengzu Bai   +3 more
openaire   +1 more source