A Multi-Strategy Enhanced Whale Optimization Algorithm for Long Short-Term Memory-Application to Short-Term Power Load Forecasting for Microgrid Buildings. [PDF]
Qu L, Teng Q, Mai H, Chen J.
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
A novel parametric scaled exponential linear unit activation function for deep residual networks in short-term load forecasting. [PDF]
Liu J +4 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
A robust solution for power grid management using a hybrid deterministic and probabilistic model for short term load forecasting. [PDF]
Serttas F.
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
Fault Recovery Strategy with Net Load Forecasting Using Bayesian Optimized LSTM for Distribution Networks. [PDF]
Ding Z, Chu Y.
europepmc +1 more source
Short-term power load forecasting based on the CEEMDAN-TCN-ESN model. [PDF]
Huang J, Zhang X, Jiang X.
europepmc +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
Stacked hybrid model for load forecasting: integrating transformers, ANN, and fuzzy logic. [PDF]
E E +4 more
europepmc +1 more source

