Publications by authors named "Alireza Arabameri"

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Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India.
Aman Arora, Purna Durga G, Manish Pandey, Alireza Arabameri

Sci Rep· September 2025

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Flood hazard potential evaluation using decision tree state-of-the-art models.
Romulus Costache, Alireza Arabameri, Iulia Costache, Anca Crăciun, Abu Reza Md Towfiqul Islam

Risk Anal· February 2024

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A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models.
Md Mahfuz Alam, Mst Yeasmin Akter, Abu Reza Md Towfiqul Islam, Javed Mallick, Zobaidul Kabir, Alireza Arabameri

J Environ Manage· February 2024

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Land subsidence susceptibility mapping: a new approach to improve decision stump classification (DSC) performance and combine it with four machine learning algorithms.
Rui Zhao, Alireza Arabameri, M Santosh

Environ Sci Pollut Res Int· February 2024

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Spatio-temporal assessment of water quality of a tropical decaying river in India for drinking purposes and human health risk characterization.
Md Mofizul Hoque, Aznarul Islam, Abu Reza Md Towfiqul Islam, Balai Chandra Das, Subodh Chandra Pal, Alireza Arabameri

Environ Sci Pollut Res Int· September 2023

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Land subsidence susceptibility mapping: comparative assessment of the efficacy of the five models.
Lei Zhang, Alireza Arabameri, M Santosh, Subodh Chandra Pal

Environ Sci Pollut Res Int· July 2023

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Retraction Note: Weather indicators and improving air quality in association with COVID-19 pandemic in India.
Rabin Chakrabortty, Subodh Chandra Pal, Manoranjan Ghosh, Alireza Arabameri, Asish Saha

Soft comput· May 2023

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Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios.
Guoqing Liu, Alireza Arabameri, M Santosh, Omid Asadi Nalivan

Environ Sci Pollut Res Int· April 2023

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Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques.
Romulus Costache, Alireza Arabameri, Iulia Costache, Anca Crăciun, Abu Reza Md Towfiqul Islam

J Environ Manage· August 2022

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Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models.
Chandini P C Senan, R S Ajin, Jean Homian Danumah, Romulus Costache, Alireza Arabameri

Stoch Environ Res Risk Assess· July 2022

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Weather indicators and improving air quality in association with COVID-19 pandemic in India.
Rabin Chakrabortty, Subodh Chandra Pal, Manoranjan Ghosh, Alireza Arabameri, Asish Saha

Soft comput· July 2021

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Optimization modelling to establish false measures implemented with ex-situ plant species to control gully erosion in a monsoon-dominated region with novel in-situ measurements.
Asish Saha, Subodh Chandra Pal, Alireza Arabameri, Indrajit Chowdhuri, Fatemeh Rezaie

J Environ Manage· June 2021

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Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method.
Sunil Saha, Alireza Arabameri, Anik Saha, Thomas Blaschke, Phuong Thao Thi Ngo

Sci Total Environ· April 2021

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Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation.
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, Rabin Chakrabortty, Indrajit Chowdhuri

J Environ Manage· April 2021

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Have any effect of COVID-19 lockdown on environmental sustainability? A study from most polluted metropolitan area of India.
Indrajit Chowdhuri, Subodh Chandra Pal, Alireza Arabameri, Phuong Thao Thi Ngo, Paramita Roy

Stoch Environ Res Risk Assess· April 2021

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Credal decision tree based novel ensemble models for spatial assessment of gully erosion and sustainable management.
Alireza Arabameri, Nitheshnirmal Sadhasivam, Hamza Turabieh, Majdi Mafarja, Fatemeh Rezaie

Sci Rep· February 2021

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Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India.
Aman Arora, Alireza Arabameri, Manish Pandey, Masood A Siddiqui, U K Shukla

Sci Total Environ· January 2021

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Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors.
Romulus Costache, Alireza Arabameri, Thomas Blaschke, Quoc Bao Pham, Binh Thai Pham

Sensors (Basel)· January 2021

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Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India.
Sunil Saha, Mantosh Saha, Kaustuv Mukherjee, Alireza Arabameri, Phuong Thao Thi Ngo

Sci Total Environ· August 2020

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A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility.
Alireza Arabameri, Sunil Saha, Jagabandhu Roy, John P Tiefenbacher, Artemi Cerda

Sci Total Environ· July 2020

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Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India.
Sunil Saha, Jagabandhu Roy, Alireza Arabameri, Thomas Blaschke, Dieu Tien Bui

Sensors (Basel)· February 2020

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Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study.
Alireza Arabameri, Thomas Blaschke, Biswajeet Pradhan, Hamid Reza Pourghasemi, John P Tiefenbacher

Sensors (Basel)· January 2020

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Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility.
Alireza Arabameri, Mojtaba Yamani, Biswajeet Pradhan, Assefa Melesse, Kourosh Shirani

Sci Total Environ· October 2019

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A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran.
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, Christian Conoscenti, Zahra Kalantari

Sci Total Environ· April 2019

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Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS.
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei

J Environ Manage· February 2019

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