Results 61 to 70 of about 5,813 (191)
Abstract This study investigates the numerical modeling of internal tendon breaks in prestressed concrete structures and evaluates the key parameters affecting accuracy. A combined approach is followed, involving global sensitivity analysis via the Elementary Effects Method and subsequent model calibration using experimental data from distributed fiber‐
Aeneas Paul, David Sanio, Peter Mark
wiley +1 more source
Introduction. Methods of unconstrained optimization play a significant role in machine learning [1–6]. When solving practical problems in machine learning, such as tuning nonlinear regression models, the extremum point of the chosen optimality criterion is often degenerate, which significantly complicates its search.
openaire +2 more sources
Simplified analysis of concentrically loaded reinforced concrete columns
Abstract Reinforced concrete columns subjected to concentric and eccentric compression loads are typically treated in an identical manner, taking into account both the imperfect shape, creep, and the second order effects, as described for example in fib Model Code 2020 and Eurocode 2.
Lili Eszter Hlavicka‐Laczák +1 more
wiley +1 more source
Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer +10 more
wiley +1 more source
ABSTRACT The combination of electric‐heating interconnected microgrids (EHIMs) with grid‐forming converters (GFMCs) offers a highly promising approach to improving energy management within decentralised energy systems. Despite its potential, precisely modelling and analysing energy flow in such systems remains a considerable challenge due to the ...
Ji Li +15 more
wiley +1 more source
La eficientización de la fertilización en los sistemas pratenses, son una necesidad para los ganaderos del sur de Chile, por su importancia en la alimentación del ganado.
Paulina Alejandra Salazar Espinoza +2 more
doaj
The law of AI knowledge distillation
Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley +1 more source
Abattoir surveillance of pneumonia and pleurisy in Western Australian sheep for 2016–2024
The ovine respiratory complex (ORC) is an important contributor to production losses and welfare concerns in sheep worldwide. This study examined trends in the detection of pneumonia and pleurisy in sheep from Western Australia, utilising abattoir surveillance data collected for the National Sheep Health Monitoring Project between 2016 and 2024 ...
E Haslin +6 more
wiley +1 more source
Background Schools provide critical support for students exposed to traumatic experiences, with school‐based trauma interventions demonstrating reductions in posttraumatic stress symptoms. However, heterogeneity in design, implementation, and efficacy of existing interventions makes it challenging to select suitable interventions and to understand ...
Kirsten Rowlinson +6 more
wiley +1 more source
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source

