Results 201 to 210 of about 7,858,530 (320)

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

On the Lavrentiev Gap for Manifold-Valued Maps. [PDF]

open access: yesJ Geom Anal
Antonini CA   +2 more
europepmc   +1 more source

EEG CONNECT: A proposed reporting checklist for EEG‐based connectivity studies in clinical epilepsy research

open access: yesEpilepsia Open, EarlyView.
Abstract EEG‐based connectivity analysis has emerged as a promising approach for investigating brain network dynamics in clinical epilepsy research. However, the diversity of analytical approaches, preprocessing pipelines, and reporting practices poses challenges to reproducibility and clinical translation.
Naoto Kuroda   +6 more
wiley   +1 more source

A metric counterpart of the Gu-Yung formula. [PDF]

open access: yesRev Mat Complut
Buccheri S, Górny W.
europepmc   +1 more source

Physics‐Based Encoder‐Only Transformer for Structural Hysteresis Prediction and Dynamic Analysis

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Accurate modeling of structural hysteresis is a critical task for ensuring the safety of structures through reliable response predictions. However, conventional hysteresis models often struggle to represent diverse hysteresis characteristics observed in real‐world structures, as the manual selection of a model form may not assure validity and ...
Jongha Joo, Jaehwan Jeon, Junho Song
wiley   +1 more source

Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang   +2 more
wiley   +1 more source

Time‐Varying Structural Approximate Dynamic Factor Model

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study proposes a time‐varying structural approximate dynamic factor (TVS‐ADF) model by extending the approximate dynamic factor (ADF) model in state‐space form. The TVS‐ADF model considers time‐varying coefficients and a time‐varying variance–covariance matrix of its innovation terms to capture complex economic dynamics.
Ziyan Zhao, Qingfeng Liu
wiley   +1 more source

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