Results 131 to 140 of about 12,439,103 (299)
Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster +7 more
wiley +1 more source
Implementable Semismooth* Newton Methods for Generalized Equations are G-Semismooth Newton Methods [PDF]
Semismooth* Newton methods have been proposed in recent years targeting multi-valued inclusion problems and have been successfully implemented to deal with several concrete generalized equations.
Zhang, Wangyongquan +2 more
core +1 more source
Unbiased fully nonlinear data assimilation. Part 1: The stochastic particle flow filter
While the existing deterministic particle flow filter (PFF) has been applied successfully to nonlinear high‐dimensional systems, it tends to underestimate ensemble spread when using a small number of particles. We introduce the stochastic particle flow filter (SPFF), which incorporates an additional Gaussian noise term into the particle flow dynamics ...
Hao‐Lun Yeh, Peter Jan van Leeuwen
wiley +1 more source
ABSTRACT Understanding and modeling the equipment failure behavior is crucial for reducing downtime, optimizing maintenance strategies, and improving operational safety. This challenge becomes particularly critical in industrial contexts involving multi‐asset portfolios, where heterogeneous conditions influence the reliability of individual assets and,
Zeynab Allahkarami +4 more
wiley +1 more source
Physical training significantly improves quadriceps strength in patients with rheumatoid arthritis. No serious adverse events were reported. Abstract Background Rheumatoid arthritis is a chronic, systemic disease in which patients can benefit from physical exercise.
Mariana Laís Boaretto +6 more
wiley +1 more source
ABSTRACT The increasing integration of distributed energy resources demands enhanced coordination between transmission system operators (TSOs) and distribution system operators (DSOs) to maintain reliable grid operation. Traditional approaches rely on hierarchical or distributed optimization schemes for power flow management, but these methods either ...
Janis Adamek +4 more
wiley +1 more source
Spectral Submanifolds of Delay Systems: Control in Continuous and Discrete Time
ABSTRACT This paper presents both continuous‐time and discretization‐based approaches for constructing spectral submanifolds (SSMs) for time delay systems. The continuous‐time approach built upon sun–star calculus, reformulates the governing delay differential equation (DDE) as an operator differential equation (OpDE).
Bence Szaksz +2 more
wiley +1 more source
Tensor‐Based Reduction of Linear Parameter‐Varying State‐Space Models
ABSTRACT The linear parameter‐varying (LPV) framework is a powerful tool for controlling nonlinear (NL) and complex systems, but the conversion of NL models into LPV forms often results in high‐dimensional and overly conservative LPV models. To be able to apply control strategies, there is often a need for model reduction in order to reduce ...
Bogoljub Terzin +4 more
wiley +1 more source
On the unique solvability and numerical study of absolute value equations
The aim of this paper is twofold. Firstly, we consider the unique solvability of absolute value equations (AVE), \(Ax-B\vert x\vert =b\), when the condition \(\Vert A^{-1}\Vert
Achache Mohamed
doaj +2 more sources
Armijo Newton Method for Convex Best Interpolation
More than a decade agao, Newton's method has been proposed for constructing the convex best interpolant. Its local quadratic convergence has only been established recently by recasting it as the generalized Newton method for semismooth equations. It
Houduo Qi
core

