Saeed Samadianfard

According to our database, Saeed Samadianfard authored at least 8 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integration of machine learning and remote sensing for drought index prediction: A framework for water resource crisis management.

Hamed Talebi, Saeed Samadianfard

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.

Milad Sharafi, Hamed Talebi, Saeed Samadianfard, Ramendra Prasad

Earth Sci. Informatics, December, 2023

Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data.

Parastoo Amirzehni, Saeed Samadianfard, Amir Hossein Nazemi, Ali Ashraf Sadraddini

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.

Saeed Samadianfard, Katayoun Kargar, Sadra Shadkani, Sajjad Hashemi, Akram Abbaspour, Mir Jafar Sadegh Safari

Neural Comput. Appl., 2022

Evaluation of deep machine learning-based models of soil cumulative infiltration.

Alireza Sepahvand, Ali Golkarian, Lawal Billa, Kaiwen Wang, Fatemeh Rezaie, Somayeh Panahi, Saeed Samadianfard, Khabat Khosravi

Earth Sci. Informatics, 2022

2020

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

Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar, Mojtaba Izadyar, Ali Mostafaeipour, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband

CoRR, 2020

2019

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

Sevda Shabani, Saeed Samadianfard, Mohammad Taghi Sattari, Shahab Shamshirband, Amir Mosavi, Tibor Kmet, Annamária R. Várkonyi-Kóczy

CoRR, 2019

2014

Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches.

Saeed Samadianfard, Mohammad Taghi Sattari, Özgür Kisi, Honeyeh Kazemi

Appl. Artif. Intell., 2014