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A Hybrid LSTM–Attention Model for Multivariate Time Series Imputation: Evaluation on Environmental Datasets

Environmental monitoring systems generate large volumes of multivariate time series data from heterogeneous sensors, including those measuring soil, weather, and air quality parameters. However, sensor malfunctions and transmission failures frequently lead to missing values, compromising the perform...

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Principais autores: Ammara Laeeq, Jie Li, Usman Adeel
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-01-01
Serier:Machine Learning and Knowledge Extraction
Fag:
data imputation
LSTM
multihead attention
missing data
neural network
time series
Online adgang:https://www.mdpi.com/2504-4990/8/1/18
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