Results 131 to 140 of about 608,210 (316)
Application of lightweight neural network models for nuclear pulse parameter prediction
BackgroundIn nuclear radiation measurement, pulse distortion is inevitable due to the interference of the measurement system itself and the measurement environment.
TANG Lin +3 more
doaj +1 more source
A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan +9 more
wiley +1 more source
The tonal noise of indoor mechanical systems causes an unpleasant sensation. The present study was conducted to predict tonal sound annoyance based on noise metrics and psychoacoustics parameters using artificial neural networks.
Mousavi, Seyed Mahdi +4 more
core
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
The calculation of noise from railway bridges and viaducts
Pandrol Rail Fastenings Limited are a designer and manufacturer of railway rail-fastening systems. As an organisation they have the capability to reduce the noise impact of bridges using resilient track components. They also have a commercial interest in
Bewes, Oliver Guy
core
Introduction: Low-frequency noise, even at low levels, is annoying and affects the physiological function of individuals. Some individual differences, such as sensitivity to noise, can reduce or increase the effect of noise on physiological parameters ...
Jalil Derakhshan +5 more
doaj
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Joint models for noise annoyance and WTP for road noise reduction [PDF]
Previous CV studies of the WTP for road noise reduction have used stated annoyance as an independent variable. We argue that this may be inappropriate due to potential endogeneity bias.
Thomas Bue Bjørner, Mogens Fosgerau
core
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source

