Results 191 to 200 of about 160,624 (315)
Development of an offline and online hybrid model for the Integrated Forecasting System
In this article, we develop a neural network based model‐error correction for the operational Integrated Forecasting System (IFS). The neural network is pre‐trained offline using a dataset of operational analyses and analysis increments and then online using a new variant of weak‐constraint 4D‐Var.
Alban Farchi+3 more
wiley +1 more source
Breeding populations of many wading birds have declined globally, primarily caused by habitat degradation and loss. In the UK, population declines have been particularly notable on lowland wet grasslands. In response, some areas of lowland wet grassland have been restored and are under ongoing management to improve the breeding conditions of target ...
Sean Jellesmark+6 more
wiley +1 more source
Simple Heterogeneous Step‐Stress Accelerated Life Testing Model Under Type II Censoring
ABSTRACT Common step‐stress accelerated life testing (SSALT) models assume that all testing items are sampled from a homogeneous population. However, this is often not the case in practice. Practitioners observe inhomogeneous aging patterns among items of the same production batch. This work proposes a simple SSALT model with exponentially distributed,
Yao Lu, Maria Kateri
wiley +1 more source
Nonlinearities distribution Laplace transform-homotopy perturbation method. [PDF]
Filobello-Nino U+11 more
europepmc +1 more source
Laplace Transform Inversion of Rational Functions [PDF]
I. M. Longman, Micha Sharir
openalex +1 more source
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe+3 more
wiley +1 more source
A Fractional Differentiation Theorem for the Laplace Transform [PDF]
James Conlan, E. L. Koh
openalex +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño+6 more
wiley +1 more source