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Imputation of urban environmental sensor data using gated attention bidirectional long short-term memory (GA-BiLSTM): methods, performance, and implications.

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Bibliographic Details
Title: Imputation of urban environmental sensor data using gated attention bidirectional long short-term memory (GA-BiLSTM): methods, performance, and implications.
Authors: Lee J; Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA. jholee@uic.edu., Berkelhammer M; Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA., O'Brien J; Environmental Research Division, Argonne National Laboratory, Lemont, IL, 60439, USA., McNicol G; Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA., Vincent AES; Department of Civil & Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA.; Northwestern Center for Water Research, Northwestern University, Evanston, IL, 60208, USA., Grover M; Environmental Research Division, Argonne National Laboratory, Lemont, IL, 60439, USA., Packman AI; Department of Civil & Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA., Kaludi B; Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA., Cho A; Department of Biological Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA., Gonzalez-Meler M; Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA.; Department of Biological Sciences, University of Illinois Chicago, Chicago, IL, 60607, USA.
Source: Environmental monitoring and assessment [Environ Monit Assess] 2026 Feb 27; Vol. 198 (3). Date of Electronic Publication: 2026 Feb 27.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2959
DOI:10.1007/s10661-026-15112-8