Results 241 to 250 of about 634,974 (298)

Robustness assessment of reinforced concrete structures for different failure scenarios

Structural Concrete, EarlyView.
Abstract This study describes the robustness assessment of 3D reinforced concrete structures analyzing the response of the 2D frames in different design configurations and failure scenarios. The structures are characterized by both frames with wide beams and seismic‐resistant frames with deep beams.
E. Miceli, Massimiliano De Iuliis, P. Castaldo   +2 more
wiley   +1 more source

Existence, Stability, and Control of Glucose-Insulin Dynamics via Caputo-Fabrizio Fractal-Fractional Operators. [PDF]

MethodsX
Saber S, Alahmari AA.
europepmc   +1 more source

Critical shear crack shapes in slender reinforced concrete beams with and without shear reinforcement

Structural Concrete, EarlyView.
Abstract The accurate prediction of the shear capacity of reinforced concrete underpins the efficient and safe design of concrete buildings and infrastructure. Disagreement remains about shear mechanisms and the modeling of shear resistance. For slender beams without shear reinforcement, critical shear crack (CSC) models have attracted interest.
Hasini C. Weerasinghe, Janet M. Lees
wiley   +1 more source

Feedrate Fluctuation Minimization for NURBS Tool Path Interpolation Based on Arc Length Compensation and Iteration. [PDF]

Micromachines (Basel)
Liu X, Yu P, Chen H, Peng B, Wang Z, Liang F.   +5 more
europepmc   +1 more source

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa   +5 more
wiley   +1 more source

Optimal D-Shaped Toolpath Design for Minimizing X-Axis Servo Following Error in Turning the Off-Axis Optical Surfaces. [PDF]

Materials (Basel)
Chen B, Wu Q, Tang Y, Wang F, Fan J, Chen X, Yu H, Sun Y.   +7 more
europepmc   +1 more source

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Wildlife Biology, EarlyView.
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh, Scott Michael Brainerd, Olivier Devineau, Morten Odden, Torfinn Jahren   +4 more
wiley   +1 more source

Unifying machine learning and interpolation theory via interpolating neural networks. [PDF]

Nat Commun
Park C, Saha S, Guo J, Zhang H, Xie X, Bessa MA, Qian D, Chen W, Wanger GJ, Cao J, Hughes TJR, Liu WK.   +11 more
europepmc   +1 more source

Evaluation of Some Parameterization Models for Photon Cross Sections in Quantitative Dual‐Energy CT

X-Ray Spectrometry, EarlyView.
ABSTRACT Using multienergy CT with energy‐dispersive detectors and dual‐energy CT (DECT), traditional CT images can be combined to extract material parameters such as electron density (ρe) and effective atomic number (Zeff). This study evaluates parameterizations for deriving ρe and Zeff from CT numbers (HU) to generate new CT images.
L. D. H. Soares, L. A. S. Lopes, M. E. Poletti   +2 more
wiley   +1 more source

Markov chain-based turnout state prediction and lifespan simulation. [PDF]

Sci Rep
Wu Z, He W, Wu Z, Gu S, Li C, Guo J.
europepmc   +1 more source