Results 191 to 200 of about 41,920 (287)

Genetic epilepsies with myoclonic seizures: Mechanisms and syndromes

open access: yesEpilepsia Open, EarlyView.
Abstract Genetic epilepsy with myoclonic seizures encompasses a heterogeneous spectrum of conditions, ranging from benign and self‐limiting forms to severe, progressive disorders. While their causes are diverse, a significant proportion stems from genetic abnormalities.
Antonietta Coppola   +3 more
wiley   +1 more source

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

Neuroanatomical correlates of neuropsychological dysfunction in pediatric pharmacoresistant epilepsy due to focal cortical dysplasia type II

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Children and adolescents with pharmacoresistant epilepsy (PRE) show marked individual cognitive and emotional variability not fully accounted for by demographic or clinical variables. This exploratory pilot study characterizes neuroanatomical abnormalities and their relationships with neuropsychological functioning in a pediatric ...
Ana Arenivas   +9 more
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

open access: yesEnergy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson   +3 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy