Performance Evaluation of Hydroponic Wastewater Treatment Plant Integrated with Ensemble Learning Techniques: A Feature Selection Approach

• Main Authors: Mustafa H.M., Hayder G., Abba S.I., Algarni A.D., Mnzool M., Nour A.H.
• Other Authors: 57217195204
• Format: Article
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2024
• Subjects: computational analysis; energy; error ensemble methods; total dissolved solids; water quality forecasting; Biochemical oxygen demand; Biological water treatment; Bioremediation; Dissolved oxygen; Errors; Forecasting; Internet of things; Learning systems; Mean square error; Potable water; Quality control; Redox reactions; Wastewater reclamation; Wastewater treatment; Water conservation; After-treatment; Computational analysis; Energy; Ensemble methods; Error ensemble method; Means square errors; Root mean square errors; Square-root; Total dissolved solids; Water quality forecasting; Water quality

Wastewater treatment and reuse are being regarded as the most effective strategy for combating water scarcity threats. This study examined and reported the applications of the Internet of Things (IoT) and artificial intelligence in the phytoremediation of wastewater using Salvinia molesta plants. Wa...