Pei, Zibo (author), Zhang, D. (author), Zhi, Yuanjie (author), Yang, Tao (author), Jin, Lulu (author), Fu, Dongmei (author), Cheng, Xuequn (author), Terryn, H.A. (author), Mol, J.M.C. (author), Li, Xiaogang (author) The atmospheric corrosion of carbon steel was monitored by a Fe/Cu type galvanic corrosion sensor for 34 days. Using a random forest (RF)-based machine learning approach, the impacts of relative humidity, temperature and rainfall were identified to be higher than those of airborne particles, sulfur dioxide, nitrogen dioxide, carbon monoxide...
journal article 2020
