Results 121 to 130 of about 127,521 (300)
Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund +3 more
wiley +1 more source
A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting. [PDF]
PeerJ Comput Sci, 2023 Wang CH, Li WQ.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution. [PDF]
PeerJ Comput Sci, 2023 Ullah I +5 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung +7 more
wiley +1 more source
Research on Load Forecasting Based on Bayesian Optimized CNN-LSTM Neural Network
EnergiesWith the high penetration of renewable energy integration and massive user participation in electricity markets, traditional short-term load forecasting methods exhibit limitations in both adaptability and prediction accuracy.
Pengyang Duan +6 more
doaj +1 more source
Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer. [PDF]
Appl Intell (Dordr), 2023 Li S, Wang J, Zhang H, Liang Y.
europepmc +1 more source
Stacking for Probabilistic Short-Term Load Forecasting
In this study, we delve into the realm of meta-learning to combine point base forecasts for probabilistic short-term electricity demand forecasting. Our approach encompasses the utilization of quantile linear regression, quantile regression forest, and post-processing techniques involving residual simulation to generate quantile forecasts. Furthermore,
openaire +2 more sources
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Improvement of short-term electric load forecasting using neural networks with preprocessing the load data [PDF]
, 2015 Пропонується інтелектуальна система, на базі штучної нейронної мережі з використанням попередньої підготовки даних, для покращення короткострокового прогнозування навантаження в енергосистемах.
Тишевич, Б. Л.
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