Results 161 to 170 of about 654,785 (260)

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

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

Learning structural engineering [PDF]

, 2010
Tim Ibell, Bath University, shares views on the structural engineering education during the Structural Engineering in the 21st Century academic conference. Students has realized that that good structural design is not about sizing members or following codified rules but is about producing a structural concept which leads to the satisfaction of a set of
openaire  

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

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

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

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 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

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

Advanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du, Kaidi Zhang, Liang Wang, Di Zhao, Mengqing Hu, Mingli Li, Ming Zhou, Zhenzhen Wu, Mengyang Dong, Bo Fu, Porun Liu, Yun Wang, Hongxia Wang, Yuantong Gu, Lei Zhang   +14 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