Results 181 to 190 of about 95,141 (307)

Short-term forecasting and impact analysis of COVID-19 and the stock market in Morocco using ARIMA. [PDF]

PLoS One
Aboagye N, Nadarajah S.
europepmc   +1 more source

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source

Short-term forecasting of Indonesia electricity generation using MATLAB based on NARX neural network. [PDF]

PLoS One
Pranata N, Saputri FR.
europepmc   +1 more source

Sensitive Parameter Analysis for Solar Irradiance Short-Term Forecasting: Application to LoRa-Based Monitoring Technology. [PDF]

Sensors (Basel), 2022
Bueso MC, Paredes-Parra JM, Mateo-Aroca A, Molina-García A.   +3 more
europepmc   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

Neural network based on dynamic multi-swarm particle Swarm optimizer for ultra-short-term load forecasting

, 2014
Ultra-Short-Term Load Forecasting plays an important role in Power Load Forecasting. Back Propagation Neural Network(BPNN) has become one of the most commonly used methods in Power System Ultra-Short-Term Load Forecasting for its ability of computing ...
Kai Qin (293713), Jane Liang (6741395), Hui Song (53547), Boyang Qu (19739686), Wei Liu (20030)   +4 more
core  

A machine learning-based short-term forecasting method for heavy fog in Anhui Province of China. [PDF]

Sci Rep
Sun Y, Wang C, Yao Y, Wang F, Zhou J, Wang X.   +5 more
europepmc   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

From monochromatic waves to realistic tides: deep learning for short-term forecasting of coastal ocean. [PDF]

Sci Rep
Yildiz I, Stanev EV, Staneva J.
europepmc   +1 more source

Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020. [PDF]

Emerg Infect Dis, 2022
Spreco A, Jöud A, Eriksson O, Soltesz K, Källström R, Dahlström Ö, Eriksson H, Ekberg J, Jonson CO, Fraenkel CJ, Lundh T, Gerlee P, Gustafsson F, Timpka T.   +13 more
europepmc   +1 more source