Results 191 to 200 of about 72,416 (315)

Attention-Enhanced CNN-LSTM with Spatial Downscaling for Day-Ahead Photovoltaic Power Forecasting. [PDF]

Sensors (Basel)
Peng F, Tang X, Xiao M.
europepmc   +1 more source

A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms. [PDF]

J Electr Eng Technol, 2023
Rahimi N, Park S, Choi W, Oh B, Kim S, Cho YH, Ahn S, Chong C, Kim D, Jin C, Lee D.   +10 more
europepmc   +1 more source

The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti, Sheena Waters, Adil Harroud, Pernilla Stridh, Ruth Dobson, Benjamin M. Jacobs   +5 more
wiley   +1 more source

A stacked Gradient Boosting-XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids. [PDF]

Sci Rep
Rohini G, Mariprasth T, Bustanji SA, Zaitsev I.   +3 more
europepmc   +1 more source

A novel Bayesian ensembling model for wind power forecasting. [PDF]

Heliyon, 2022
Tang J, Hu J, Heng J, Liu Z.
europepmc   +1 more source

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang, Shaoxin Tao, Qiujia Wang, Xiaoyu Xu, Hui Yao, Zheng Liu, Dawei Li, Zhandong Qiu, Jinming Han, Jiangwei Xia, Qi Wang, Jun Sun, Kai Shao, Jiao Li, Shishuang Ruan, Yi Zhong, Jun Guo, Shougang Guo, Yue Huang, Guoliang Chai, Tao Jin, Hongyu Zhou, Junwei Hao, Yinan Zhao   +23 more
wiley   +1 more source

Interpretable ultra-short-term photovoltaic power forecasting with multi-scale temporal modeling and variable-wise attention. [PDF]

Sci Rep
Liu L, Liu M, Han Z, Zhao H.
europepmc   +1 more source

DTTrans: PV Power Forecasting Using Delaunay Triangulation and TransGRU. [PDF]

Sensors (Basel), 2022
Song K, Jeong J, Moon JH, Kwon SC, Kim H.   +4 more
europepmc   +1 more source

Validation of the Pediatric Arthritis Ultrasound Scoring System for the Elbow, Wrist, and Finger Joints in Children With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez, Pinar Ozge Avar‐Aydin, Kelly Rogers, Daniel J. Lovell, Jennifer Huggins, Alexei Grom, Hermine I. Brunner, Grant S. Schulert, Sheila T. Angeles‐Han, Mekibib Altaye, Amy Cassedy, Arthur B. Meyers, Tracy V. Ting   +12 more
wiley   +1 more source

Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework. [PDF]

Sci Rep
Su X, Gao J, Han K, Kim H, Jung H.
europepmc   +1 more source