Results 261 to 270 of about 198,133 (331)

Artificial intelligence in orthopedic regenerative medicine: from design to clinical translational pathways. [PDF]

Front Cell Dev Biol
Xu T, Chen W, Chai Y, Hong J, Wu Y, Xu Y, Qiu S, Luo Q.   +7 more
europepmc   +1 more source

Risk factor analysis and predictive model for the alleviation of postpartum stress urinary incontinence: a retrospective cohort study. [PDF]

Front Glob Womens Health
Guo L, Li J, Lu J, Chen S, Li M, Yang J, Xiao L, Shen J, Liu J.   +8 more
europepmc   +1 more source

An Automated Vision-Based Inspection System for Metallic Lock Surface Defects Using a Transformer-Enhanced U-Net. [PDF]

Sensors (Basel)
Lin HD, Li SY, Lin CH.
europepmc   +1 more source

First-principles investigation and device simulation of TlPbI₃-based perovskite solar cells with machine learning-driven efficiency prediction. [PDF]

RSC Adv
Harun-Or-Rashid M, Etabti H, Tazwar MT, Sadik Abid MA, Shahriyar MF, Khurramov N, Nurmatovich HA, Sabirov S, Benahmedi L, Islam MM, Rahman MF.   +10 more
europepmc   +1 more source

Explainable Ai Framework for Software Defect Prediction

Journal of Software: Evolution and Process
ABSTRACTSoftware engineering plays a critical role in improving the quality of software systems, because identifying and correcting defects is one of the most expensive tasks in software development life cycle. For instance, determining whether a software product still has defects before distributing it is crucial.
Bahar Gezici Geçer, Ayça Kolukısa Tarhan   +1 more
semanticscholar   +3 more sources

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A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

Engineering Applications of Artificial Intelligence, 2022
Delivering high-quality software products is a challenging task. It needs proper coordination from various teams in planning, execution, and testing. Many software products have high numbers of defects revealed in a production environment.
Swati Ahirrao, Ketan Kotecha, Ganeshsree Selvachandran   +2 more
exaly   +2 more sources

Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model [PDF]

Sci Rep
Software defect prediction aims to find a reliable method for predicting defects in a particular software project and assisting software engineers in allocating limited resources to release high-quality software products.
Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Redhwan Algabri, Mohammed A. Al-masni, Mannan Saeed Muhammad, Y. Gu   +6 more
semanticscholar   +2 more sources