Results 161 to 170 of about 11,335 (296)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Applying Social Network Analysis to Software Fault-Proneness Prediction

, 2017
Due to the rapid pace of software development, end-users now anticipate a seemingly limitless expansion of capabilities from their software. As a result, software systems are becoming increasingly complex and more susceptible to failures.
Li, Yihao
core  

Decision-Aware Multi-Horizon Fault Prediction for Photovoltaic Inverters: Analysis of Threshold-Based Alarm Policies Under Operational Constraints. [PDF]

Sensors (Basel)
Kim J, Kim TY, Yun HS, Lee SJ.
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Performance Evaluation Metrics for Software Fault Prediction Studies

, 2012
Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with faulty labels during the ...
Çatal, Çağatay
core  

Multi-Stage State Assessment of Breakers Based on TCWGAN-GP and XGBoost Under Insufficient Samples. [PDF]

Sensors (Basel)
Sun L, Wang L, Wang J, Liu Z.
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Controls on hydrocarbon accumulation in ultra-deep carbonate reservoirs of the Ordovician Yingshan Formation, Catake Uplift, Tarim Basin. [PDF]

Sci Rep
Wang L, Yang R, Geng F, Jiang Z, Zhang H, Zhang Q.   +5 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

BRICK-Automated Virtual Temperature Sensors for Sensor Fault Detection, Isolation, and Discrimination in Smart-Building HVAC Systems. [PDF]

Sensors (Basel)
Chahine K, Noura HN.
europepmc   +1 more source