Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O₃) Prediction in Johannesburg, South Africa

This paper presents a model that combines mode decomposition approaches with a bi-directional long short-term memory (BiLSTM) attention mechanism and a transformer (AMT) to predict the concentration level of ozone (O₃) in Johannesburg, South Africa. Johannesburg is a densely populated cit...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Israel Edem Agbehadji, Ibidun Christiana Obagbuwa
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-04-01
coleção:	Forecasting
Assuntos:	empirical mode decomposition (EMD) enhanced empirical mode decomposition (EEMD) complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) BiLSTM attention mechanism and transformer ozone prediction
Acesso em linha:	https://www.mdpi.com/2571-9394/7/2/15
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!