Results 201 to 210 of about 57,788 (289)

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG

Epileptic Disorders, EarlyView.
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu, Hüseyin Öztoprak, Özlem Yayıcı Köken, Hatice Demir, Mehpare Sarı Yanartaş, Deniz Yılmaz, Burçin Şanlıdağ, Ayşegül Neşe Çıtak Kurt   +7 more
wiley   +1 more source

Operating characteristics of agreement metrics in AI-based scoring: a Monte Carlo simulation. [PDF]

Front Psychol
Yandi A.
europepmc   +1 more source

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

Energy 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, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Ivemark syndrome in an adult with complete atrioventricular septal defect and a single ventricle with L-transposition of the great arteries: a case report. [PDF]

J Med Case Rep
Hibatouallah H, El-Mhadi S, Siagh S, Touati Z, Cherti M.   +4 more
europepmc   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

Energy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 more
wiley   +1 more source

An optimized shunt active power filter using the golden Jackal optimizer for power quality improvement. [PDF]

Sci Rep
Bakria D, Laouid AA, Korich B, Beladel A, Teta A, Mohammedi RD, Elsayed SK, Ali E, Aeggegn DB, Ghoneim SSM.   +9 more
europepmc   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Optimal locations and capacities of multiple BESSs in a RES-integrated distribution network: a real-world case study. [PDF]

Sci Rep
Khunkitti S, Wichitkrailat K, Siritaratiwat A.   +2 more
europepmc   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Association of socioeconomic and lifestyle factors with the prevalence of chronic noncommunicable disease multimorbidity in rural Southwest China: a structural equation modeling approach. [PDF]

Arch Public Health
Huang JJ, Li GH, Liu L, Ruan CY, Li XM, Bao QR, Shi RM, Gu F, Cai L.   +8 more
europepmc   +1 more source