@article{42b261ac980f4aeb9fe30e2cf8bdf482,
title = "Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area",
abstract = "An adaptively formulated Multi-level Lag Scheme can significantly. Improve the training process efficiently, and can be applied in mostly ANN-type deep learning model, with a practical case of Air Quality Alert Service in a city of sub-tropical area.",
keywords = "Air quality forecasting, Deep learning, Multi-level lag scheme, Multivariate",
author = "Tam, {Benedito Chi Man} and Tang, {Su Kit} and Alberto Cardoso",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2025",
month = dec,
doi = "10.1186/s40537-024-01043-z",
language = "English",
volume = "12",
journal = "Journal of Big Data",
issn = "2196-1115",
publisher = "Springer Nature",
number = "1",
}
