Results 111 to 120 of about 397,119 (307)
Transformer network for time series prediction via wavelet packet decomposition
Time series predictions are commonly used in the fields of energy, meteorol-ogy, and finance, among others. The accurate prediction of time series data iscritical for making decisions and planning.
Zhichao Wu, Aiye Shi, Yan Ping Tao
doaj +1 more source
Erratum to: Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data [PDF]
Mansour Sheikhan, Najmeh Mohammadi
openalex +1 more source
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun +95 more
wiley +1 more source
Grammar-Mediated Time-Series Prediction
Brabazon, A. +4 more
doaj +1 more source
Clinical Characteristics and Outcomes of Early‐Onset Versus Late‐Onset LGI1‐Antibody Encephalitis
ABSTRACT Background Leucine‐rich glioma‐inactivated 1 antibody (LGI1‐Ab) encephalitis predominantly affected older individuals, but has also been reported in younger patients. However, the demographic, clinical, and prognostic characteristics of early‐onset LGI1‐Ab encephalitis have yet to be systematically elucidated. This study aims to systematically
Yu Kong +7 more
wiley +1 more source
Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Prediction using Weather Image Time Series [PDF]
Matteo Salis +3 more
openalex +1 more source
Computer dynamic model and time series prediction of air by LSTM recurrent neural network
Haoran Zhao, Ziyuan Li, Shuyang Xu
openalex +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Artificial Neural Network based system for foreign exchange rate time-series prediction
Lishman, Brad
openalex +1 more source
Learning Leading Indicators for Time Series Predictions [PDF]
Magda Gregorová +2 more
openalex +1 more source

