Chen, Ying https://orcid.org/0000-0001-7878-195X
Zhang, Hongbo
Li, Xiao
Song, Wenyang
Xv, Chongxuan
Zhao, Xueliang
Funding for this research was provided by:
the Natural Science Foundation of Hebei Province, China (F2020203066)
the Key Research and Development Project of Hebei Province (19273901D)
the National Natural Science Foundation of China (62275228)
Article Title: Multi-step prediction of chlorophyll concentration based on adaptive graph-temporal convolutional network with series decomposition
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2023 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-05-18
Date Accepted: 2023-12-04
Online publication date: 2023-12-08