Results 191 to 200 of about 13,423,347 (294)

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

Structured Learning for Structural Bioinformatics: Applications of Deep Learning to Protein Structure Prediction.

, 2019
Proteins are the basic molecular machines of the cell, performing a broad range of tasks, from structural support to catalysisof chemical reactions. Their function is determined by their 3D structure, which in turn is dictated by the order of their components, the amino acids. This thesis is dedicated to applications of machine learning to the problems
openaire   +2 more sources

Bayesian network structure learning by opposition-based learning. [PDF]

Sci Rep
Sun B, Zhang X, Jiang J, Gong J, Lin D.
europepmc   +1 more source

Knowledge-based and data-driven underground pressure forecasting based on graph structure learning. [PDF]

Int J Mach Learn Cybern, 2022
Wang Y, Liu M, Huang Y, Zhou H, Wang X, Wang S, Du H.   +6 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Efficient structure learning of gene regulatory networks with Bayesian active learning. [PDF]

BMC Bioinformatics
Sándor D, Antal P.
europepmc   +1 more source

Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine. [PDF]

JMIR Med Inform, 2023
Upadhyaya P, Zhang K, Li C, Jiang X, Kim Y.   +4 more
europepmc   +1 more source

Blended Learning Practice

, 2019
The Blended Learning Practice massive open online course (MOOC) is an introduction to blending technology and distance education teaching strategies with traditional, in-person classroom activities.
Commonwealth of Learning
core  

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

TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]

Entropy (Basel)
Wei C, Zhang T, Li C, Wang P, Ye Z.
europepmc   +1 more source