Results 101 to 110 of about 194,750 (277)
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
To better evaluate the comprehensive performance of Class C fly ash (FA) in terms of soundness and mechanical strength for engineering applications, this study analyzes the effects of CaO and free-CaO (f-CaO) on the strength activity index and soundness ...
Xiangzhi Kong +6 more
doaj +1 more source
Macroeconomic Environment and Banking Sector Soundness in CEE Countries [PDF]
The aim of our paper is to empirically investigate the impact of the changes in macroeconomic environment on the financial soundness of the banking sector (as measured by bank Z-score) in 11 Central and Eastern European countries, over the period 2000 ...
Irina Bilan, Angela Roman
doaj
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Banking on the principles : compliance with Basel Core Principles and bank soundness [PDF]
This paper studies whether compliance with the Basel Core Principles for Effective Banking Supervision (BCP) improves bank soundness. BCP compliance assessments provide a unique source of information about the quality of bank supervision and regulation ...
Demirguc-Kunt, Asli +2 more
core
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source

