Hybrid evolutionary-gradient training improves long-term time series forecasting. [PDF]
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]
Kim D, Kang J, Hwang H, Kim H.
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A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]
Li Y, Liu D.
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Traffic Forecasting for Industrial Internet Gateway Based on Multi-Scale Dependency Integration. [PDF]
Ma T, Liu J, Xu P, Song Y.
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Forecasting migraine with time-series machine learning from mobile health data. [PDF]
Faisal F +18 more
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Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]
Mundada T, Ramdhave S, Jain S, Gupta S.
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Forecasting multidrug-resistant organisms infection trends in a Chinese tertiary hospital (2014-2024): a comparative study of SARIMA, ETS, Prophet, and NNETAR models. [PDF]
Chen H, Zhou L.
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KALFormer: Knowledge-augmented attention learning for long-term time series forecasting with transformer. [PDF]
Dong X, Yang Q, Cheng W, Zhang Y.
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Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]
Ahmadianfar I +10 more
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SM-TCN: Multi-Resolution Sparse Convolution Network for Efficient High-Dimensional Time Series Forecast. [PDF]
Guo Z, Sun Y, Wu T.
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