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Работы, на которые ссылается эта работа
Работ: 38
Работа: Ensemble Machine Learning Prediction of Multi-Pollutant Removal Efficiency in Biochar-Based Adsorption Systems
Scikit-learn: Machine Learning in Python
PedregosaFabian, VaroquauxGaël, GramfortAlexandre +13
Статья2011Цитирований: 6ABILow-cost adsorbents for heavy metals uptake from contaminated water: a review
Обзорная статья2003Цитирований: 6ABIToxicity, mechanism and health effects of some heavy metals
Monisha Jaishankar, Tenzin Tseten, Naresh Anbalagan +2
Обзорная статья2014Цитирований: 5ABIApplication of biochar for the removal of pollutants from aqueous solutions
Xiaofei Tan, Yunguo Liu, Guangming Zeng +4
Обзорная статья2015Цитирований: 3ABIOrganic and inorganic contaminants removal from water with biochar, a renewable, low cost and sustainable adsorbent – A critical review
Dinesh Mohan, Ankur Sarswat, Yong Sik Ok +1
Обзорная статья2014Цитирований: 2ABIA review of biochar as a low-cost adsorbent for aqueous heavy metal removal
Mandu Inyang, Bin Gao, Ying Yao +6
Обзорная статья2015Цитирований: 2ABI