Saeed Samadianfard

Orcid: 0000-0002-6876-7182

According to our database1, Saeed Samadianfard authored at least 11 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation.
Earth Sci. Informatics, April, 2025

Innovative strategies for hourly global horizontal irradiance forecasting using a hybrid gated recurrent unit and long short-term memory architecture with spatio-temporal attention mechanism.
Earth Sci. Informatics, March, 2025

Developing long short-term memory combined with numerical first order differential optimization and clockwork recurrent neural network to predict suspended sediment load.
Earth Sci. Informatics, January, 2025

2024
Integration of machine learning and remote sensing for drought index prediction: A framework for water resource crisis management.
Earth Sci. Informatics, October, 2024

2023
A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined with feedforward neural networks.
Earth Sci. Informatics, December, 2023

Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data.
Earth Sci. Informatics, December, 2023

2022
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods.
Neural Comput. Appl., 2022

Evaluation of deep machine learning-based models of soil cumulative infiltration.
Earth Sci. Informatics, 2022

2020
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm.
CoRR, 2020

2019
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression.
CoRR, 2019

2014
Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches.
Appl. Artif. Intell., 2014


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