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Opeyemi Ajibola-James
Observed name:
Opeyemi Ajibola James
Institution:
University of Nigeria
Observed institution:
University of Nigeria
ORCID:
0000-0002-3012-7569
Observed ORCID:
0000-0002-3012-7569
OpenAlex ID:
A5068589409
An approach for good modeling and forecasting of sea surface salinity in a coastal zone using machine learning LASSO regression models built with sparse satellite time series datasets
2025
·
Opeyemi Ajibola-James
, Francis I. Okeke
·
Advances in Space Research
·
8
Mangrove Ecosystem Recovery and Restoration from Oil Spill in the Niger Delta: The GIS Perspective
2013
·
Opeyemi Ajibola James
·
Geoinformatics & Geostatistics An Overview
·
7
Assessment of variability of sea surface salinity using integrated all-weather satellite data in a tropical coast (Nigerian coastal zone)
2023
·
Opeyemi Ajibola-James
, Francis Okeke
, et al.
·
Research Square
·
3
PDF
Investigation of High-Frequency Dynamics of Sea Surface Salinity in the Outer Shannon Estuary Using Numerical Model-Derived Data
2026
·
Opeyemi Ajibola-James
·
Preprints.org
·
1
PDF
Machine learning ARIMA for modelling and forecasting variations inearth’s surface phenomenon using sparse time series satellite data—acase study of sea surface salinity in the Nigerian coastal zone
2024
·
Opeyemi Ajibola-James
, Francis I. Okeke
·
Research Square
·
1
PDF
An approach for good modelling and forecasting of sea surface salinity in a coastal zone using machine learning LASSO regression models built with sparse satellite time-series datasets
2024
·
Opeyemi Ajibola-James
, Francis I. Okeke
·
Research Square
·
1
PDF
Automated retrieval of sea surface salinity from satellite data and investigation of the spatio-temporal variation of ocean salinity across the West and Central African coasts
2023
·
Obinna C. D. Anejionu
, Elijah S. Ebinne
, et al.
·
The International Hydrographic Review
·
1
Optimisation of Machine Learning ARIMA Forecasts for Modelling Future Variations in Earth’s Surface Phenomena Using Sparse Non-Destructive Time Series Data
2026
·
Opeyemi Ajibola-James
·
Research Square
PDF
Sea surface salinity variability assessment in a tropical coast using integrated all-weather satellite data
2026
·
Opeyemi Ajibola-James
, Francis I. Okeke
, et al.
·
Advances in Space Research
A Comparative Ablation Study of CNN-LSTM-GRU and MAformer Architectures for Operational Multi-regime Salinity Forecasting in the Outer Shannon Estuary
2026
·
Opeyemi Ajibola-James
·
Research Square
PDF
Machine Learning ARIMA for Modelling and Forecasting Variations in Earth’s Surface Phenomenon using Sparse Time Series Satellite Data - A Case Study of Sea Surface Salinity in a Tropical Coast
2025
·
Opeyemi Ajibola-James
, Francis I. Okeke
·
Iconic Research and Engineering Journals
PDF
Optimisation of Machine Learning ARIMA Forecasts for Modelling Future Variations in Earth’s Surface Phenomena Using Sparse Time Series Satellite Data – A Case Study of Sea Surface Salinity in a Coast
2025
·
Opeyemi Ajibola-James
·
Preprints.org
PDF
An Approach for Good Modelling and Forecasting of Sea Surface Salinity in a Coastal Zone Using Machine Learning Lasso Regression Models Built with Sparse Satellite Time Series Datasets
2025
·
Opeyemi Ajibola-James
, Francis I. Okeke
·
SSRN Electronic Journal
Automated Retrieval of Sea Surface Salinity from the Aquarius, Smap, and Smos Satellite Data and Investigation of the Spatiotemporal Variation of Ocean Salinity Across the West and Central African Coasts
2022
·
Obinna Anejionu
, Elijah S. Ebinne
, et al.
·
SSRN Electronic Journal
Mangrove Ecosystem Recovery and Restoration from Oil Spill in the Niger Delta: The GIS
2013
·
Opeyemi Ajibola-James
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Works count:
15
Citation count:
22
H-index:
3
I10-index:
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