Results 191 to 200 of about 506,961 (273)
As part of the ongoing efforts to develop next‐generation forecasting systems at the Meteorological Service Singapore, this study presents the setup and evaluation of the SINGV_NG(MPAS) system. Overall, the SINGV_NG(MPAS) system outperforms European Centre for Medium‐Range Weather Forecasts (ECMWF) deterministic forecasts in capturing heavy rainfall ...
I‐Han Chen +7 more
wiley +1 more source
Noise-Limited Failure of OGY Chaos Control in Regulating Monosynaptic Reflex Variability in the In Vivo Cat Spinal Cord. [PDF]
Manjarrez E +3 more
europepmc +1 more source
Indian and African monsoons: Trajectories and interactions
The catch basin of marine air particles of the Indian monsoon is the tropical Indian ocean, whilst that of the African monsoon is the east tropical Atlantic. However, the oscillations induced by the monsoonal interactions favour particle exchange between the two basins. These transitions are abrupt in the presence of stochastic resonance. The monsoonal
Giovanni A. Dalu, Marina Baldi
wiley +1 more source
Emergent order from mixed chaos at low temperature. [PDF]
Chvykov P, England J.
europepmc +1 more source
COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos +4 more
wiley +1 more source
Anterior Cruciate Ligament Reconstruction Rehabilitation as a Complex Adaptive Process: From Control-Chaos to Actionable Return-to-Sport Decisions. [PDF]
Kakavas G, Malliaropoulos N, Forelli F.
europepmc +1 more source
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 +2 more
wiley +1 more source
Machine learning predictions from unpredictable chaos. [PDF]
Jiang J +9 more
europepmc +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source

