EMA-FCM: A Multivariate Time Series Prediction Method with Effective Multi-Scale Attention Mechanism

Wenqi Wan; Jingping Wang; Yingjun Zhang

doi:10.1145/3730436.3730531

ScienceGate Book Chapters

JOURNAL ARTICLE

EMA-FCM: A Multivariate Time Series Prediction Method with Effective Multi-Scale Attention Mechanism

Wenqi Wan Jingping Wang Yingjun Zhang

Year: 2025 Pages: 582-587

DOI: 10.1145/3730436.3730531

Get Full-Text PDF Get Analytical Report

Keywords:

Multivariate statistics Series (stratigraphy) Computer science Scale (ratio) Mechanism (biology) Time series Data mining Artificial intelligence Machine learning Geology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.11

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Cognitive Science and Mapping

Physical Sciences → Computer Science → Artificial Intelligence

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

EMA-FCM: A Multivariate Time Series Prediction Method with Effective Multi-Scale Attention Mechanism

Metrics

Topics

Related Documents

MSPFT: Multivariate Time Series Prediction Transformer with Multi-Scale Patch Fusion Mechanism

Multivariate Time Series Forecasting Based on Multi-Scale Feature Fusion and Dual-Attention Mechanism

Multi-Attention Generative Adversarial Network for Multivariate Time Series Prediction

Multi-scale temporal features extraction based graph convolutional network with attention for multivariate time series prediction

Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting