Results 71 to 80 of about 86,307 (298)
Cost-Sensitive Machine Learning for Predicting Production Defects: a Novel Approach Based on MetaCost [PDF]
پژوهش در مدیریت تولید و عملیاتPurpose: This paper aims to apply cost-sensitive machine learning (CSML) for predicting production defects in industrial processes to minimize the costs associated with false negatives.
Ahmad Jafarnejad +2 more
doaj +1 more source
Energy Reports, 2021 The effective assessment and prediction of the defect state of transmission lines can provide important technical support for the maintenance management of transmission lines.
Xinghua Wang +5 more
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
On the Cost and Profit of Software Defect Prediction
, 2021 The article "On the cost and profit of software defect prediction" published in the IEEE Transactions on Software Engineering in 2019 propose a cost model to enable the estimation of the expected profit when using machine learning models for defect ...
Herbold, Steffen
core +1 more source
A Novel Unsupervised Method for Software Defect Prediction Based on Clustering Assumption
IEEE AccessSoftware defect prediction (SDP) is a very important technique used in the software testing. It helps to quickly predict the defects contained in software in the early stage of development.
Shiqi Tang +3 more
doaj +1 more source
A Regression Analysis Based Model for Defect Learning and Prediction in Software Development
Mehran University Research Journal of Engineering and Technology, 2021 The development of software undergoes multiple regression phases to deliver quality software. Therefore, to minimize the development effort, time and cost it is very important to understand the probable defects associated with the designed modules. It is
Mashooque Ahmed Memon +3 more
doaj +1 more source
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Micro interaction metrics for defect prediction [PDF]
, 2011 There is a common belief that developers'behavioral interaction patterns may affect software quality. However, widely used defect prediction metrics such as source code metrics, change churns, and the number of previous defects do not capture developers ...
Sunghun Kim +8 more
core +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Hybrid Defect Prediction Model Based on Counterfactual Feature Optimization
Human-Centric Intelligent Systems, 2023 Software defect prediction is critical to ensuring software quality. Researchers have worked on building various defect prediction models to improve the performance of defect prediction.
Wei Zheng +5 more
doaj +1 more source