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Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models

Published in Journal of Environmental Management, 2023

Recommended citation: Iftikhar, S., Karim, A. M., Karim, A. M., Karim, M. A., Aslam, M., Rubab, F., ... & Yasir, M. (2023). Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models. Journal of Environmental Management, 328, 116969. https://doi.org/10.1016/j.jenvman.2022.116969

Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials

Published in Separation and Purification Technology, 2023

Recommended citation: Sara Iftikhar, Nallain Zahra, Fazila Rubab, Raazia Abrar Sumra, Muhammad Burhan Khan, Ather Abbas, Zeeshan Haider Jaffari, Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials, Separation and Purification Technology, Volume 326, 2023 https://doi.org/10.1016/j.seppur.2023.124891

Adsorption of Cr(VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision

Published in Journal of Environmental Chemical Engineering, 2024

Recommended citation: Rehan Ishtiaq, Nallain Zahra, Sara Iftikhar, Fazila Rubab, Khawar Sultan, Ather Abbas, Sze-Mun Lam, Zeeshan Haider Jaffari, Ki Young Park, Adsorption of Cr(VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision, Journal of Environmental Chemical Engineering, Volume 12, Issue 2, 2024, 112238, ISSN 2213-3437, https://doi.org/10.1016/j.jece.2024.112238. (https://www.sciencedirect.com/science/article/pii/S2213343724003683) https://doi.org/10.1016/j.jece.2024.112238

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