Results 171 to 180 of about 65,893 (254)

Windows of opportunity in subseasonal weather regime forecasting: A statistical–dynamical approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study explores how the atmospheric state at initialisation creates windows of opportunity for improving week 3 forecasts of weather regime activity. Greenland blocking activity increases following Madden–Julian Oscillation phases 7, 8, and 1 and weak stratospheric polar vortex states, revealing patterns exploitable by statistical models.
Fabian Mockert, Christian M. Grams, Sebastian Lerch, Julian Quinting   +3 more
wiley   +1 more source

Generative AI for Bayesian Computation. [PDF]

Entropy (Basel)
Polson N, Sokolov V.
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Jacobian Granger causality for count and binary data with applications to causal network inference. [PDF]

Sci Rep
Suryadi, Chew LY, Ong YS.
europepmc   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease. [PDF]

Elife
Englert R, Kincses B, Kotikalapudi R, Gallitto G, Li J, Hoffschlag K, Woo CW, Wager TD, Timmann D, Bingel U, Spisak T.   +10 more
europepmc   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf, Andreas Völz, Knut Graichen   +2 more
wiley   +1 more source

AI and Robotics Advancement in Analytical Mineral Characterization and Mining Processes: A Review and Research Trends Analysis. [PDF]

Top Curr Chem (Cham)
Mkhohlakali A, Toona MP, Mogashane T, Rampfumedzi T, Madzivha P, Letsoalo MR, Ntsasa N, Sehata J, Mukwevho N, Ncedo T, Mabowa MH, Tshilongo J.   +11 more
europepmc   +1 more source

Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments

Journal of Field Robotics, EarlyView.
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun, Licheng Feng, Yueqi Wang, Kai Zhao, Binghao Li, Liao Wu   +5 more
wiley   +1 more source

MVIB-Lip: Multi-View Information Bottleneck for Visual Speech Recognition via Time Series Modeling. [PDF]

Entropy (Basel)
Li Y, Sun H, Cai J, Wu J.
europepmc   +1 more source