Results 131 to 140 of about 127,521 (300)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji +13 more
wiley +1 more source
Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model. [PDF]
Appl Bionics Biomech, 2022 Shao L, Guo Q, Li C, Li J, Yan H.
europepmc +1 more source
Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan +3 more
wiley +1 more source
Fusion Forecasting Algorithm for Short-Term Load in Power System
EnergiesShort-term load forecasting plays an important role in power system scheduling, optimization, and maintenance, but no existing typical method can consistently maintain high prediction accuracy.
Tao Yu +4 more
doaj +1 more source
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China. [PDF]
Comput Intell Neurosci, 2021 Dong H, Gao Y, Fang Y, Liu M, Kong Y.
europepmc +1 more source
Forecasting from one day to one week ahead for the Spanish system operator [PDF]
This paper discusses the building process and models used by Red Eléctrica de España (REE), the Spanish system operator, in short-term electricity load forecasting.
Antoni Espasa +2 more
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SHORT TERM LOAD FORECASTING UNTUK HARI LIBUR PADA KONDISI BEBAN ANOMALI MENGGUNAKAN ALGORITMA HYBRID BACK PROPAGATION-SWARM PARTICLE [PDF]
, 2015 Keakuratan prediksi beban listrik akan berdampak pada biaya pembangkitan yang lebih ekonomis. Penggunaan energi listrik pada hari libur nasional, menunjukkan pola beban yang cenderung tidak identik, pola ini berbeda dari pola beban pada hari normal.
Rasyid, Sopian Al
core
Data Selection for Short Term load forecasting
, 2019 Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techniqies have been hardly used in this application. However, the use of such techniques could be beneficial provided the assumption that the data is identically distributed is ...
Pereira, Nestor +4 more
openaire +2 more sources
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source