Results 151 to 160 of about 182,632 (325)

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini   +2 more
wiley   +1 more source

A separated representation of an error indicator for the mesh refinement process under the proper generalized decomposition framework

open access: green, 2014
E. Nadal   +5 more
openalex   +2 more sources

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

open access: yesFuture Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh   +3 more
wiley   +1 more source

Do Internet‐Driven Trade Shocks Moderate the Exchange Rate Pass‐Through to Inflation?

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the existence of an internet globalisation intensifying impact on the size of the exchange rate pass‐through (ERPT) to inflation, which conditions the response of central banks' policy rates. Expanding on the traditional determinants of ERPT, we incorporate technology‐induced trade shocks linked to internet adoption to ...
Joanna Darwiche, Nicole Ballouz Baker
wiley   +1 more source

Towards Characterization of Five‐List‐Colorability of Toroidal Graphs

open access: yesJournal of Graph Theory, EarlyView.
ABSTRACT Through computer‐assisted enumeration, we list minimal obstructions for 5‐choosability of graphs on the torus with the following additional property: There exists a cyclic system of non‐contractible triangles around the torus where the consecutive triangles are at distance at most four.
Zdeněk Dvořák   +1 more
wiley   +1 more source

Anwendung der Proper Generalized Decomposition auf strukturmechanische Problemstellungen

open access: yes, 2019
Mechanical simulations are getting increasingly demanding. The models have to be more accurate and get more complex. This causes that the calculation needs more time. One possibility to reduce the complexity of a problem is using model reduction methods.
openaire   +1 more source

Bridging Classical and Quantum Approaches for Quantitative Sensing of Turbid Media with Polarization‐Entangled Photons

open access: yesLaser &Photonics Reviews, EarlyView.
This work bridges classical and quantum polarimetry toward quantitative quantum photonic sensing of turbid environments. Theoretical and experimental investigations reveal how polarization‐entangled photonic states evolve in turbid media, uncovering robust trends in entanglement evolution and paving the way for advanced quantum sensing in biomedical ...
Vira R. Besaga   +5 more
wiley   +1 more source

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