Data imputation in large and small‐scale spatiotemporal time series gaps using BackForward Bi‐LSTM

Today's article comes from the Journal of Big Data. The authors are Galdelli et al., from Marche Polytechnic University, in Italy. In this paper they introduce a subtle twist on bi-directional LSTMs, to help them fill in large gaps with greater accuracy.

DOI: 10.1186/s40537-025-01163-0

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