Results 51 to 60 of about 24,182 (212)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

A class of Wasserstein metrics for probability distributions.

Michigan Mathematical Journal, 1984
Let (S,d) be a complete separable metric space and \({\mathfrak X}\) be the space of all S-valued random variables given on a probability space without atoms. Let \({\mathfrak M}_ p(p\geq 1)\) be the space of all Borel probability measures P on S with finite p-moment, i.e. \(\int_{S}d^ P(x,a)P(dx)
Givens, Clark R., Shortt, Rae Michael
openaire   +2 more sources

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Wasserstein Divergence for GANs

, 2018
In many domains of computer vision, generative adversarial networks (GANs) have achieved great success, among which the family of Wasserstein GANs (WGANs) is considered to be state-of-the-art due to the theoretical contributions and competitive ...
Acharya, Dinesh, Huang, Zhiwu, Thoma, Janine, Van Gool, Luc, Wu, Jiqing   +4 more
core   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Constrained steepest descent in the 2-Wasserstein metric

Annals of Mathematics, 2003
We study several constrained variational problem in the 2-Wasserstein metric for which the set of probability densities satisfying the constraint is not closed. For example, given a probability density $F_0$ on $\R^d$ and a time-step $h>0$, we seek to minimize $I(F) = hS(F) + W_2^2(F_0,F)$ over all of the probability densities $F$ that have the same
Carlen, E. A., Gangbo, W.
openaire   +3 more sources

Remote Language Assessment in School‐Age Children With Phelan–McDermid Syndrome and Genotype–Phenotype Correlation

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT People with Phelan–McDermid syndrome (PMS) have reduced speech and language abilities, yet little research has profiled the communication abilities in this population. The purpose of this study was threefold: identifying the language and communication profiles of school‐aged children with PMS, identifying genetic contributions to language and ...
Sarah Quadri‐Valverde, Jessica Klusek, Linda D. Ward, Diana Ivankovic, Nancy Powers, Vijay Shankar, Rachel A. Lyman, Trudy F. C. Mackay, William Bridges, Katy Phelan, Curtis Rogers, Luigi Boccuto, Sara M. Sarasua   +12 more
wiley   +1 more source

Residual Adversarial Subdomain Adaptation Network Based on Wasserstein Metrics for Intelligent Fault Diagnosis of Bearings

Applied Sciences
Subdomain adaptation plays a significant role in the field of bearing fault diagnosis. It effectively aligns the pertinent distributions across subdomains and addresses the frequent issue of lacking local category information in domain adaptation ...
Haichao Cai, Bo Yang, Yujun Xue, Yanwei Xu   +3 more
doaj   +1 more source

How can welfare regime and production regime theories explain differences in schools’ ability grouping policies? A comparative study using the PISA school survey

British Educational Research Journal, EarlyView.
Abstract Research evidence is mixed on the consequences of ability grouping policies, but most research has found an overrepresentation of disadvantaged social demographics in low‐ability groups. However, researchers have neglected to explain why ability grouping policies vary between countries.
Monica Reichenberg, Girma Berhanu, Lena Fridlund   +2 more
wiley   +1 more source

Three superposition principles: currents, continuity equations and curves of measures

, 2015
We establish a general superposition principle for curves of measures solving a continuity equation on metric spaces without any smooth structure nor underlying measure, representing them as marginals of measures concentrated on the solutions of the ...
Stepanov, Eugene, Trevisan, Dario
core   +1 more source