Sani Isah Abba
Orcid: 0000-0001-9356-2798
According to our database1,
Sani Isah Abba
authored at least 21 papers
between 2019 and 2024.
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Bibliography
2024
Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia.
Neural Comput. Appl., September, 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
Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 and Russia-Ukraine war dynamics.
Eng. Appl. Artif. Intell., 2024
Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids.
Eng. Appl. Artif. Intell., 2024
New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition.
Artif. Intell. Rev., 2024
Demystifying Knitr Package: Essential Recipes and Easy Steps for Adding Knit-Engines in R.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
2023
An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment.
Soft Comput., August, 2023
EviewsR: An R Package for Dynamic and Reproducible Research Using EViews, R, R Markdown and Quarto.
R J., June, 2023
Earth Sci. Informatics, June, 2023
Digital elevation model for flood hazards analysis in complex terrain: Case study from Jeddah, Saudi Arabia.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023
Frontiers Appl. Math. Stat., 2023
2022
Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection.
Sustain. Comput. Informatics Syst., 2022
Computational Machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia.
Remote. Sens., 2022
Inverse groundwater salinization modeling in a sandstone's aquifer using stand-alone models with an improved non-linear ensemble machine learning technique.
J. King Saud Univ. Comput. Inf. Sci., 2022
Neurocomputing, 2022
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia.
Ecol. Informatics, 2022
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling.
Appl. Soft Comput., 2022
2021
A comparative study between dynamic and soft computing models for sediment forecasting.
Soft Comput., 2021
2020
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques.
Remote. Sens., 2020
Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration.
IEEE Access, 2020
2019
Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation.
IEEE Access, 2019