Results 181 to 190 of about 691,007 (262)

DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors. [PDF]

BMC Med Res Methodol
Zhao Y, Jia J.
europepmc   +1 more source

Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition. [PDF]

Entropy (Basel), 2022
Lv Z, Chen Y, Di R, Wang H, Sun X, He C, Li X.   +6 more
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

M³ASD: Integrating Multi-Atlas and Multi-Center Data via Multi-View Low-Rank Graph Structure Learning for Autism Spectrum Disorder Diagnosis. [PDF]

Brain Sci
Yang S, Yin Z, Ma Y, Wang M, Huang S, Zhang L.   +5 more
europepmc   +1 more source

Complementary Structure-Learning Neural Networks for Relational Reasoning. [PDF]

Cogsci, 2021
Russin J, Zolfaghar M, Park SA, Boorman E, O'Reilly RC.   +4 more
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics. [PDF]

Adv Sci (Weinh)
Nie W, Yu Y, Wang X, Wang R, Li SC.
europepmc   +1 more source

Latent motives guide structure learning during adaptive social choice. [PDF]

Nat Hum Behav, 2022
van Baar JM, Nassar MR, Deng W, FeldmanHall O.   +3 more
europepmc   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Molecular property prediction based on graph structure learning. [PDF]

Bioinformatics
Zhao B, Xu W, Guan J, Zhou S.
europepmc   +1 more source