Results 31 to 40 of about 26,154 (249)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley +1 more source
Recent years have seen an increased focus on non-Fourier heat conduction models for simulating microscale and ultrafast transient thermal processes. These models are particularly relevant in scenarios where classical Fourier theory fails to capture non ...
Balaram Kundu, Jayanarayan Mahakud
doaj +1 more source
In this article, a non-Fourier approach to model the heat transfer phenomenon in nanofluids having application to automotive industry is studied. In this respect, a recently proposed hyperbolic heat flux equation is embedded into the heat energy equation
Taimoor Dil, M. Sabeel Khan
doaj +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Investigate on Non-Fourier Heat Conduction in Sand Using Models based on Fractional Calculus [PDF]
In this article, the study of the non-Fourier heat conduction in casting sand that is located inside a container under an instantaneous heat flux. According to inefficiencies of Fourier model to model the behavior of this problem due to differences in ...
Aziz Azimi +2 more
doaj +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Two-layered electroosmotic flow through a vertical microchannel with fractional Cattaneo heat flux
The unsteady electroosmotic flow (EOF) of two layers of immiscible fluids through a vertical microchannel with heat transfer will be investigated. The channel is subjected to an alternating current (AC) electric field.
Y. Abd Elmaboud
doaj +1 more source
This work addresses the three-dimensional flow of hybrid nanofluid owing to a rotating disk of variable thickness in the attendance of modified Fourier law.
Yan Zhang +4 more
doaj +1 more source
Insights into experimental evaluation of the non-Fourier heat transfer model in biological tissues
A comprehensive understanding of heat transfer mechanisms in biological tissues is essential for the advancement of thermal therapeutic techniques and the development of accurate bioheat transfer models. Conventional models often fail to capture the inherently complex thermal behavior of biological media, necessitating more sophisticated approaches for
Mohammad Azhdari +6 more
openaire +2 more sources

