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)

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)

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)

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)

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)

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, 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, 2023)

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, 2024)

Developing long short-term memory combined with numerical first order differential optimization and clockwork recurrent neural network to predict suspended sediment load. - Milad Sharafi; Sadra Shadkani; Amirreza Pak; Alireza Motadayen; Saeed Samadianfard; Egemen Aras; Vahid Nourani (Earth Sci. Informatics, 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. - Saeed Samadianfard; Zahra Rousta; Mahdi Mohebbiyan; Hamed Talebi (Earth Sci. Informatics, 2025)

Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation. - Sajjad Hashemi; Saeed Samadianfard; Amir Hossein Nazemi (Earth Sci. Informatics, 2025)