Suchergebnisse - "ConvLSTM1D-BiLSTM"

Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand

Autoren: Kasikrit Damkliang Jularat Chumnaul

Quelle: Journal of Big Data, Vol 12, Iss 1, Pp 1-24 (2025)

Schlagwörter: Area-based PM2.5 forecasting, ConvLSTM1D-BiLSTM, Deep learning, Machine learning, Sliding window configuration, Southern Thailand, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2196-1115

Zugangs-URL: https://doaj.org/article/59607dd2f10e4e70be7bf335273a6801