Results 51 to 60 of about 23,924 (195)
Energies, 2022 This paper proposes a distributed robust multi-energy dynamic optimal power flow (DR-DOPF) model to overcome the uncertainty of new energy outputs and to reduce water spillage in hydropower plants.
Gengli Song, Hua Wei
doaj +1 more source
Stability of the global attractor under Markov-Wasserstein noise [PDF]
, 2011 We develop a "weak Wa\.zewski principle" for discrete and continuous time dynamical systems on metric spaces having a weaker topology to show that attractors can be continued in a weak sense.
Kell, Martin
core
Optimal Transport for Seismic Full Waveform Inversion
, 2016 Full waveform inversion is a successful procedure for determining properties of the earth from surface measurements in seismology. This inverse problem is solved by a PDE constrained optimization where unknown coefficients in a computed wavefield are ...
Engquist, Bjorn +2 more
core +1 more source
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 +3 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 +4 more
core +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
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
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
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 +2 more
wiley +1 more source