Results 181 to 190 of about 178,885 (276)
A hybrid power load forecasting model using BiStacking and TCN-GRU. [PDF]
Ma J, Peng J, Han H, Song L, Liu H.
europepmc +1 more source
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
Self-adaptive evolutionary neural networks for high-precision short-term electric load forecasting. [PDF]
Abbas M +8 more
europepmc +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
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
Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features. [PDF]
Tian N +6 more
europepmc +1 more source
Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz +11 more
wiley +1 more source
An ensemble-based enhanced short and medium term load forecasting using optimized missing value imputation. [PDF]
Gupta T, Bhatia R, Sharma S.
europepmc +1 more source
Fuzzy spatial load forecasting
Dissertação apresentada para obtenção do grau de Doutor, na Faculdade de Engenharia da Universidade do Porto, sob a orientação dos Professores Vladimiro Miranda e Maria Teresa Ponce de ...
openaire +1 more source
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
Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm. [PDF]
Zhang D, Xu Y, Li Y.
europepmc +1 more source

