Results 161 to 170 of about 86,307 (298)

Research of Software Defect Prediction Model Based on Complex Network and Graph Neural Network. [PDF]

Entropy (Basel), 2022
Cui M, Cui M, Long S, Jiang Y, Na X.
europepmc   +1 more source

Consumed by Abdominal Distention

Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge, James Grenert, Brian Haas, Mary Margaretten   +3 more
wiley   +1 more source

Pyramidal Structures on Yttria‐Stabilized Zirconia after High Temperature Exposure at 1500°C: New Features on an Old Material

Advanced Engineering Materials, EarlyView.
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold, Dylan Jennings, Robert Vaßen   +2 more
wiley   +1 more source

Scalable Graphene Defect Prediction Using Transferable Learning. [PDF]

Nanomaterials (Basel), 2021
Zheng B, Zheng Z, Gu GX.
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

Cross-Project Defect Prediction Based on Two-Phase Feature Importance Amplification. [PDF]

Comput Intell Neurosci, 2022
Xing Y, Lin W, Lin X, Yang B, Tan Z.
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

data unpredictability in software defect-fixing effort prediction

, 2010
National Laboratory for Parallel and Distributed Processing; The University of Hong KongThe prediction of software defect-fixing effort is important for strategic resource allocation and software quality management.
Wang Qing, Yang Ye, He Zhimin, Zhang Wen, Shu Fengdi   +4 more
core  

Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning. [PDF]

Comput Intell Neurosci, 2021
Li Z, Li T, Wu Y, Yang L, Miao H, Wang D.   +5 more
europepmc   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source