Results 181 to 190 of about 464,587 (290)

A novel hybrid model integrating CEEMDAN decomposition, dispersion entropy and LSTM for photovoltaic power forecasting and anomaly detection. [PDF]

Sci Rep
Qiu Z, Ye J, Lu J, Zhu N.
europepmc   +1 more source

Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann, Theresa Lüth, Susen Schaake, Carolin Gabbert, Marius Möller, Hauke Busch, Katja Lohmann, Jonas A. Gustafson, Danny E. Miller, Kensuke Daida, Manabu Funayama, Nobutaka Hattori, Samia Ben Sassi, Faycel Hentati, Matthew J. Farrer, Kristian K. Ullrich, Christine Klein, Joanne Trinh   +17 more
wiley   +1 more source

Dynamic Model Selection in a Hybrid Ensemble Framework for Robust Photovoltaic Power Forecasting. [PDF]

Sensors (Basel)
Song N, Chang-Silva R, Lee K, Park S.
europepmc   +1 more source

FDG‐PET Associations With Disease Severity and Outcomes in NMDA‐Receptor IgG Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Patients with N‐methyl‐D‐aspartate (NMDA) receptor‐immunoglobulin G (IgG) autoimmune encephalitis (NMDAR‐IgG AE) demonstrate occipital lobe hypometabolism on baseline brain fluorodeoxyglucose‐positron emission tomography (bFDG‐PET).
Jonathan K. Lee, Jeffrey Lambe, Scott Johnson, Akua Abrah, Jennifer Bullen, Jeffrey A. Cohen, Tatchaporn Ongphichetmetha, Amy Kunchok   +7 more
wiley   +1 more source

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks. [PDF]

PLoS One
Han Y, Li C, Chen S, Zhao J, Tian Y, Wang J.   +5 more
europepmc   +1 more source

Long-term power forecasting using FRNN and PCA models for calculating output parameters in solar photovoltaic generation. [PDF]

Heliyon, 2022
Kazem HA, Yousif JH, Chaichan MT, Al-Waeli AHA, Sopian K.   +4 more
europepmc   +1 more source

Electric Power Outage Forecasting

, 2018
Donatella Pasqualini, Kimberly Kaufeld, Mary Dorn, Scott Vander Wiel, Scott Backhaus   +4 more
openaire   +2 more sources

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons. [PDF]

Sci Rep
Hassan AA, Atia DM, El-Madany HT, ElGhannam F.   +3 more
europepmc   +1 more source

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source