The nonlinear regression trees for retrieving missed data during sea-level measurement
A Mahdavi-Meymand, D Majewski, W Sulisz - Journal of Environmental …, 2025 - Elsevier
Sea surface displacement (SSD) is a crucial parameter in environmental engineering. The
measurements of SSD are susceptible to the failure of instruments and equipment, data …
measurements of SSD are susceptible to the failure of instruments and equipment, data …
Classification of Non-Seismic Tsunami Early Warning Level Using Decision Tree Algorithm.
E Juanara, CY Lam - Journal of Information Systems …, 2024 - search.ebscohost.com
Background: Tsunami caused by volcanic collapse are categorized as non-seismic
uncommon events, unlike tsunamis caused by earthquakes, which are common events. The …
uncommon events, unlike tsunamis caused by earthquakes, which are common events. The …
[HTML][HTML] Deep learning-based landslide tsunami run-up prediction from synthetic gage data
The present study proposes a deep learning model based on Long-Short Term Memory
(LSTM) that uses gage measurements for prediction of landslide-driven maximum tsunami …
(LSTM) that uses gage measurements for prediction of landslide-driven maximum tsunami …
[PDF][PDF] D2. 4 Report on Implementing Containerization and Optimization Strategy
As a follow-up of the studies reported in D2. 2, this document presents the technical
solutions implemented in the multiple components of the eFlows4HPC software stack in …
solutions implemented in the multiple components of the eFlows4HPC software stack in …