Results 161 to 170 of about 5,020,863 (306)

Editorial: Global excellence in neural circuits: Central and South America

open access: yesFrontiers in Neural Circuits
Cristina Martins-Silva
doaj   +1 more source

Alzheimer's Disease Beyond Amyloid: Lessons From Atherosclerosis

open access: yes
Annals of Clinical and Translational Neurology, EarlyView.
Marcello Ciaccio, Luisa Agnello
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
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

Catholic Women's Network, March / April, 1991

open access: yes, 1991
Digitized version of a newspaper published by the Catholic Women's Network (CWN), a non-profit educational organization for women's spirituality and personal growth.
Catholic Women's Network (Sunnyvale, Calif);
core  

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
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

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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