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Prediction of Mean Sea Level with GNSS-VLM Correction Using..:

Raj, Nawin ; Brown, Jason
https://research.usq.edu.au/download/1d8726a29e2650aa1168b7d051bde87393c6e9f8ff7feddd711888a633d29a37/7405030/remotesensing-15-02881.pdf. , 2023

Link: https://research.usq.edu.au/item/yyvqy/prediction-of-m..

RT Journal
T1 <Title>Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftusqland:oai:research.usq.edu.au:yyvqy&Exemplar=1&LAN=DE
				
A1 Raj, Nawin
A1 Brown, Jason
PB MDPI AG
YR 2023
K1 signal decomposition by successive variational mode decomposition (SVMD)
K1 mean sea level (MSL)
K1 Global Navigation Satellite System (GNSS)
K1 vertical land movement (VLM)
K1 convolutional neural network (CNN)
K1 bidirectional long short-term memory (BiLSTM)
JF https://research.usq.edu.au/download/1d8726a29e2650aa1168b7d051bde87393c6e9f8ff7feddd711888a633d29a37/7405030/remotesensing-15-02881.pdf
LK http://dx.doi.org/https://research.usq.edu.au/item/yyvqy/prediction-of-mean-sea-level-with-gnss-vlm-correction-using-a-hybrid-deep-learning-model-in-australia
DO https://research.usq.edu.au/item/yyvqy/prediction-of-mean-sea-level-with-gnss-vlm-correction-using-a-hybrid-deep-learning-model-in-australia
SF ELIB - SuUB Bremen

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