Results 121 to 130 of about 155,165 (287)

Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review. [PDF]

Sensors (Basel), 2022
Jorayeva M, Akbulut A, Catal C, Mishra A.   +3 more
europepmc   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Attention based GRU-LSTM for software defect prediction. [PDF]

PLoS One, 2021
Munir HS, Ren S, Mustafa M, Siddique CN, Qayyum S.   +4 more
europepmc   +1 more source

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

Advanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

A Novel Rank Aggregation-Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction. [PDF]

Comput Intell Neurosci, 2021
Balogun AO, Basri S, Mahamad S, Capretz LF, Imam AA, Almomani MA, Adeyemo VE, Kumar G.   +7 more
europepmc   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

An Adaptive Rank Aggregation-Based Ensemble Multi-Filter Feature Selection Method in Software Defect Prediction. [PDF]

Entropy (Basel), 2021
Balogun AO, Basri S, Capretz LF, Mahamad S, Imam AA, Almomani MA, Adeyemo VE, Kumar G.   +7 more
europepmc   +1 more source

Analyzing Electronic Excitations and Exciton Binding Energies in Y6 Films

Advanced Functional Materials, EarlyView.
The Y6 molecule is used for increasing the efficiency of organic solar cells. The exciton binding energy is calculated for ensembles of Y6 molecules that are representative of the typically used films. The calculations show that the excitons typically spread out over many molecules.
Sahar Javaid Akram, Sophie Meißner, Stephan Kümmel   +2 more
wiley   +1 more source

Smart AI-Intensive Software Defect Predictions Based on Optimized Deep Feature Classification Using GWO-Code2Vec CNN Learning

ITEGAM-JETIA
Software defect prediction plays a crucial role in improving software reliability, reducing maintenance costs, and enhancing software quality.
Ruckmani V. S, Rajan John, J. Jebamalar Tamilselvi, Surya Susan Thomas   +3 more
doaj   +1 more source

Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques. [PDF]

J Healthc Eng, 2021
Khan B, Naseem R, Shah MA, Wakil K, Khan A, Uddin MI, Mahmoud M.   +6 more
europepmc   +1 more source