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Original Articles

Estimating the amount of cadmium and lead in the polluted soil using artificial intelligence models

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Pages 933-951 | Received 08 Jul 2019, Accepted 24 Oct 2019, Published online: 27 Nov 2019

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Yang Zhang, Mei Lei, Kai Li & Tienan Ju. (2023) Spatial prediction of soil contamination based on machine learning: a review. Frontiers of Environmental Science & Engineering 17:8.
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Andaç Batur Çolak, Bilgehan Yabgu Horasan, Alican Öztürk & Mustafa Bayrak. (2023) An example of artificial neural networks modeling the distribution of mercury (Hg), which poses a risk to human health in the selection of settlements: Sarayönü (Türkiye). Arabian Journal of Geosciences 16:5.
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Bing Zhao, Wenxuan Zhu, Shefeng Hao, Ming Hua, Qiling Liao, Yang Jing, Ling Liu & Xueyuan Gu. (2023) Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk. Journal of Hazardous Materials 448, pages 130879.
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Elif Günal, Mesut Budak, Miraç Kılıç, Bilal Cemek & Mesut Sırrı. (2023) Combining spatial autocorrelation with artificial intelligence models to estimate spatial distribution and risks of heavy metal pollution in agricultural soils. Environmental Monitoring and Assessment 195:2.
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Mariem Trifi, Anis Gasmi, Cristina Carbone, Juraj Majzlan, Nesrine Nasri, Mohja Dermech, Abdelkrim Charef & Hamza Elfil. (2022) Machine learning-based prediction of toxic metals concentration in an acid mine drainage environment, northern Tunisia. Environmental Science and Pollution Research 29:58, pages 87490-87508.
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Bassam Tawabini, Mohamed A. Yassin, Mohammed Benaafi, John Adedapo Adetoro, Abdulaziz Al-Shaibani & S. I. Abba. (2022) Spatiotemporal Variability Assessment of Trace Metals Based on Subsurface Water Quality Impact Integrated with Artificial Intelligence-Based Modeling. Sustainability 14:4, pages 2192.
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Samad Emamgholizadeh & Babak Mohammadi. (2021) New hybrid nature-based algorithm to integration support vector machine for prediction of soil cation exchange capacity. Soft Computing 25:21, pages 13451-13464.
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Hongrui Yang, Kuan Huang, Kai Zhang, Qin Weng, Huichun Zhang & Feier Wang. (2021) Predicting Heavy Metal Adsorption on Soil with Machine Learning and Mapping Global Distribution of Soil Adsorption Capacities. Environmental Science & Technology 55:20, pages 14316-14328.
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Wenshuai Zhang & Zhangang Wang. (2021) Soil Pollution Prediction Based on KPCA and Improved Deep Sparse Extreme Learning Machine. Soil Pollution Prediction Based on KPCA and Improved Deep Sparse Extreme Learning Machine.
Fatemeh Mousavi, Ehsan Abdi, Maria Knadel, Markus Tuller, Abbas Ghalandarzadeh, Hossein Ali Bahrami & Baris Majnounian. (2021) Combining Vis–NIR spectroscopy and advanced statistical analysis for estimation of soil chemical properties relevant for forest road construction. Soil Science Society of America Journal 85:4, pages 1073-1090.
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Suraj Kumar Bhagat, Mariapparaj Paramasivan, Mustafa Al-Mukhtar, Tiyasha Tiyasha, Konstantina Pyrgaki, Tran Minh Tung & Zaher Mundher Yaseen. (2021) Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models. Environmental Science and Pollution Research 28:24, pages 31670-31688.
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R. Soleimani, E. Chavoshi, H. Shirani & I. Esfandiarpour Boroujeni. (2021) Evaluation of Intelligence Models to Estimate the Least Limiting Water Range Using Conveniently Measurable Soil Properties. Eurasian Soil Science 54:3, pages 389-398.
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Wen Yee Wong, Ayman Khallel Ibrahim Al-Ani, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Sarah Abdul Razak, Hanee Farzana Hizaddin, Mohd Istajib Mokhtar & Muhammad Mokhzaini Azizan. (2021) Water, Soil and Air Pollutants’ Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems - A Review. IEEE Access 9, pages 105532-105563.
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Xuan-Nam Bui, Hoang-Bac Bui & Hoang Nguyen. 2021. Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining. Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining 109 142 .

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