Results 121 to 130 of about 223,849 (180)

Hybrid evolutionary-gradient training improves long-term time series forecasting. [PDF]

Sci Rep
Zhao L, Chen Z, Wu N, Bai L.
europepmc   +1 more source

MoEKAN: Multi-Scale Transformer-Based Gating KAN Experts Network for Time Series Forecasting. [PDF]

Sensors (Basel)
Kim D, Kang J, Hwang H, Kim H.
europepmc   +1 more source

A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]

Entropy (Basel)
Li Y, Liu D.
europepmc   +1 more source

Traffic Forecasting for Industrial Internet Gateway Based on Multi-Scale Dependency Integration. [PDF]

Sensors (Basel)
Ma T, Liu J, Xu P, Song Y.
europepmc   +1 more source

Forecasting migraine with time-series machine learning from mobile health data. [PDF]

J Headache Pain
Faisal F, Poole AC, Danelakis A, Wergeland T, Bjørk M, Khanevski AN, Kristoffersen ES, Kumelj T, Larsen ICK, Lunder OV, Matharu M, Nachev P, Simpson MR, Tronvik E, Vetvik KG, Winsvold BS, Øie LR, Øvrevik AB, Stubberud A.   +18 more
europepmc   +1 more source

Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]

Sci Rep
Mundada T, Ramdhave S, Jain S, Gupta S.
europepmc   +1 more source

Forecasting multidrug-resistant organisms infection trends in a Chinese tertiary hospital (2014-2024): a comparative study of SARIMA, ETS, Prophet, and NNETAR models. [PDF]

Front Public Health
Chen H, Zhou L.
europepmc   +1 more source

KALFormer: Knowledge-augmented attention learning for long-term time series forecasting with transformer. [PDF]

PLoS One
Dong X, Yang Q, Cheng W, Zhang Y.
europepmc   +1 more source

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]

Sci Rep
Ahmadianfar I, Yaseen ZM, Marhoon HA, Halder B, Tan ML, Kilinc HC, Abba SI, Heddam S, Goliatt L, Demir V, Al-Areeq AM.   +10 more
europepmc   +1 more source

SM-TCN: Multi-Resolution Sparse Convolution Network for Efficient High-Dimensional Time Series Forecast. [PDF]

Sensors (Basel)
Guo Z, Sun Y, Wu T.
europepmc   +1 more source