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

已完结 10 由南溟发布于 2026/5/8 8:49:28

DOI:10.1016/j.jenvman.2022.116969
作者：Sara Iftikhar , Asad Mustafa Karim , Aoun Murtaza Karim , Mujahid Aizaz Karim , Muhammad Aslam , Fazila Rubab , Sumera Kausar Malik , Jeong Eun Kwon , Imran Hus
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) are pollutants of worldwide concern that seriously threaten public health and ecosystems. Machine learning (ML) predictio

应助信息

1天前

Koko

a781d4564a7811f1943a34735aa3bc31.pdf 已采纳

1天前

Book学术机器人

2026/5/8 8:49:28 未找到该文献，机器人已退出，请等待人工下载

2026/5/8 8:49:28 Book学术AI机器人收到请求，开始寻找文献

2026/5/8 8:49:28 已向机器人发送请求

1天前

南溟发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:WileyClathrate-Like Alkali and Alkaline-Earth Metal Borides: A New Family of Superconductors with Superior Hardness