Results 51 to 60 of about 285,439 (304)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Karush-Kuhn-Tucker conditions and Lagrangian approach for improving machine learning techniques: A survey and new developments

Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali
In this work we propose new proofs of some classical results of nonlinear programming milestones, in particular for the Kuhn-Tucker conditions and Lagrangian methods and functions.
Tiziana Ciano, Massimiliano Ferrara
doaj   +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

Quadratic hyper-surface kernel-free large margin distribution machine-based regression and its least-square form

Machine Learning: Science and Technology
ε -Support vector regression ( ε -SVR) is a powerful machine learning approach that focuses on minimizing the margin, which represents the tolerance range between predicted and actual values.
Hao He, Kuaini Wang, Yuzhu Jiang, Huimin pei   +3 more
doaj   +1 more source

Review of Machine Learning Approaches to Semantic Web Service Discovery

Journal of Advances in Information Technology, 2010
A Web service can discover and invoke any service anywhere on the Web, independently of the language, location, machine, or other implementation details.
Shalini Batra, Seema Bawa
doaj   +1 more source

Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography

Frontiers in Oncology, 2021
ObjectiveTo build radiomics models using features extracted from DCE-MRI and mammography for diagnosis of breast cancer.Materials and Methods266 patients receiving MRI and mammography, who had well-enhanced lesions on MRI and histologically confirmed ...
You-Fan Zhao, Zhongwei Chen, Yang Zhang, Jiejie Zhou, Jeon-Hor Chen, Jeon-Hor Chen, Kyoung Eun Lee, Freddie J. Combs, Ritesh Parajuli, Rita S. Mehta, Meihao Wang, Min-Ying Su, Min-Ying Su   +12 more
doaj   +1 more source

Supervised Transfer Learning for Product Information Question Answering

, 2019
Popular e-commerce websites such as Amazon offer community question answering systems for users to pose product related questions and experienced customers may provide answers voluntarily.
Bui, Trung, Lai, Tuan Manh, Li, Sheng, Lipka, Nedim   +3 more
core   +1 more source

Prediction of global marginal land resources for Pistacia chinensis Bunge by a machine learning method

Scientific Reports, 2022
AbstractBiofuel has attracted worldwide attention due to its potential to combat climate change and meet emission reduction targets. Pistacia chinensis Bunge (P. chinensis) is a prospective plant for producing biodiesel. Estimating the global potential marginal land resources for cultivating this species would be conducive to exploiting bioenergy ...
Shuai Chen, Mengmeng Hao, Yushu Qian, Fangyu Ding, Xiaolan Xie, Tian Ma   +5 more
openaire   +3 more sources

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source