Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models' accuracy

AL Balogun, N Adebisi - Geomatics, Natural Hazards and Risk, 2021 - Taylor & Francis
This study aims to integrate a broad spectrum of ocean-atmospheric variables to predict sea
level variation along West Peninsular Malaysia coastline using machine learning and deep …

Long and short-term evolution of the Algerian coastline using remote sensing and GIS technology

A Boukhennaf, K Mezouar - Regional Studies in Marine Science, 2023 - Elsevier
The present study is carried out over the 150 km Algerian coastline. It focuses on the
qualitative and quantitative spatiotemporal analysis of Algiers coast and the main factors …

A deep-learning model for national scale modelling and mapping of sea level rise in Malaysia: the past, present, and future

N Adebisi, AL Balogun - Geocarto International, 2022 - Taylor & Francis
In this study, we conducted a holistic evaluation of current and future trend in coastal sea
level at the 21 stations along Malaysia's coastline. For sea level prediction, univariate and 3 …

Assessing the impacts of rising sea level on coastal morpho-dynamics with automated high-frequency shoreline mapping using multi-sensor optical satellites

N Adebisi, AL Balogun, M Mahdianpari, TH Min - Remote Sensing, 2021 - mdpi.com
Rising sea level is generally assumed and widely reported to be the significant driver of
coastal erosion of most low-lying sandy beaches globally. However, there is limited data …

Measurement of Alongshore Sediment Transports at the Swash Zone of Teluk Nipah Beach

WJ Yau, HM Teh, YH Lim, A Jeyadev… - Journal of Hunan …, 2021 - jonuns.com
Abstract Teluk Nipah Beach of Pangkor Island, Malaysia, experienced severe erosion ever
since 2017. One of the factors causing beach erosion is the change of alongshore sediment …