Shamsuddin Shahid
Orcid: 0000-0001-9621-6452
According to our database1,
Shamsuddin Shahid
authored at least 14 papers
between 2015 and 2024.
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Bibliography
2024
Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran.
Earth Sci. Informatics, February, 2024
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions.
Eng. Appl. Artif. Intell., 2024
Examining the NDVI-Rainfall Relationship Under High Enso Event Influence Using Geographically Weighted Regression in Peninsular Malaysia.
Proceedings of the IGARSS 2024, 2024
2023
High-Resolution Precipitation Modeling in Complex Terrains Using Hybrid Interpolation Techniques: Incorporating Physiographic and MODIS Cloud Cover Influences.
Remote. Sens., May, 2023
2022
Neurocomputing, 2022
The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction.
Appl. Soft Comput., 2022
2021
Identification of NO2 and SO2 Pollution Hotspots and Sources in Jiangsu Province of China.
Remote. Sens., 2021
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization.
Knowl. Based Syst., 2021
Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis.
IEEE Access, 2021
2020
An Integrated Method for Identifying Present Status and Risk of Drought in Bangladesh.
Remote. Sens., 2020
A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction.
IEEE Access, 2020
2019
Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt.
Remote. Sens., 2019
Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region.
IEEE Access, 2019
2015
Assessment of groundwater potential zones in an arid region based on catastrophe theory.
Earth Sci. Informatics, 2015