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Saeid Janizadeh

Showing results (1-10 of 10) with videos related to

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Scientific Reports|October 24, 2025
Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoostNasrin Eini, Saeid Janizadeh, Sayed M Bateni, et al.
Journal of Environmental Management|May 2, 2022
Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factorsAbolfazl Jaafari, Saeid Janizadeh, Hazem Ghassan Abdo, et al.
Scientific Reports|December 5, 2024
Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approachJana Vojteková, Saeid Janizadeh, Matej Vojtek, et al.
Journal of Environmental Management|January 30, 2021
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibilityWei Chen, Xinxiang Lei, Rabin Chakrabortty, et al.
Journal of Environmental Management|July 9, 2024
Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithmsSaeid Janizadeh, Dongkyun Kim, Changhyun Jun, et al.
Sensors (Basel, Switzerland)|October 3, 2020
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion SusceptibilityShahab S Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Journal of Environmental Management|August 26, 2021
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the futureSaeid Janizadeh, Subodh Chandra Pal, Asish Saha, et al.
Environmental Science and Pollution Research International|November 4, 2021
Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approachesKhalifa M Alkindi, Kaustuv Mukherjee, Manish Pandey, et al.
Sensors (Basel, Switzerland)|October 15, 2020
Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate ConcentrationShahab S Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Journal of Environmental Management|December 7, 2023
Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning modelsTrang Thi Kieu Tran, Saeid Janizadeh, Sayed M Bateni, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Scientific Reports|October 24, 2025
Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoostNasrin Eini, Saeid Janizadeh, Sayed M Bateni, et al.
Journal of Environmental Management|May 2, 2022
Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factorsAbolfazl Jaafari, Saeid Janizadeh, Hazem Ghassan Abdo, et al.
Scientific Reports|December 5, 2024
Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approachJana Vojteková, Saeid Janizadeh, Matej Vojtek, et al.
Journal of Environmental Management|January 30, 2021
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibilityWei Chen, Xinxiang Lei, Rabin Chakrabortty, et al.
Journal of Environmental Management|July 9, 2024
Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithmsSaeid Janizadeh, Dongkyun Kim, Changhyun Jun, et al.
Sensors (Basel, Switzerland)|October 3, 2020
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion SusceptibilityShahab S Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Journal of Environmental Management|August 26, 2021
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the futureSaeid Janizadeh, Subodh Chandra Pal, Asish Saha, et al.
Environmental Science and Pollution Research International|November 4, 2021
Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approachesKhalifa M Alkindi, Kaustuv Mukherjee, Manish Pandey, et al.
Sensors (Basel, Switzerland)|October 15, 2020
Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate ConcentrationShahab S Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Journal of Environmental Management|December 7, 2023
Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning modelsTrang Thi Kieu Tran, Saeid Janizadeh, Sayed M Bateni, et al.
Pageof 1