Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine and deep learning techniques

• Main Authors: Zhang, Shuangshuang, Omar, Abdullah Hisam, Hashim, Ahmad Sobri, Teg Alam, Teg Alam, Khalifa, Hamiden Abd. El-Wahed, Elkotb, Mohamed Abdelghany
• Format: Article
• Published: Elsevier B.V. 2023
• Subjects: H Social Sciences (General); HD28 Management. Industrial Management; HT101-395 Sociology, Urban
• Online Access: http://eprints.utm.my/107521/; http://dx.doi.org/10.1016/j.uclim.2023.101487
• Institution: Universiti Teknologi Malaysia

Urban groundwater influences a wide range of processes in the natural world, including climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and sanitary processes, supporting several ecological services. Waste groundwater management refers to the activities and practices...