Results 41 to 50 of about 10,684,153 (270)
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
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
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source
Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter +4 more
wiley +1 more source
On a Functional Equation Appearing on the Margins of a Mean Invariance Problem
Given a continuous strictly monotonic real-valued function α, defined on an interval I, and a function ω : I → (0, +∞) we denote by Bαω the Bajraktarević mean generated by α and weighted by ω:
Jarczyk Justyna, Jarczyk Witold
doaj +1 more source
The Infinite NHPP Software Reliability Model based on Monotonic Intensity Function
Software testing (debugging) in order to reduce costs in terms of changes in the software reliability and testing costs, need to know in advance is more efficient.
Yoo, Tae-hyun
semanticscholar +1 more source
3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley +1 more source
A completely monotonic function involving the gamma and trigamma functions
In the paper the author provides necessary and sufficient conditions on $a$ for the function\begin{equation*}\frac{1}{2}\ln(2\pi)-x+\biggl(x-\frac{1}{2}\biggr)\ln x-\ln\Gamma(x)+\frac1{12}{\psi'(x+a)}\end{equation*}and its negative to be completely ...
Feng Qi
doaj
The incoherent feed‐forward loop can generate non‐monotonic input functions for genes
Gene regulation networks contain recurring circuit patterns called network motifs. One of the most common network motif is the incoherent type 1 feed‐forward loop (I1‐FFL), in which an activator controls both gene and repressor of that gene.
Shai Kaplan +3 more
doaj +1 more source

