Template-Type: ReDIF-Article 1.0
Author-Name: Adrian Stoica
Author-Workplace-Name: Departamentul de Științe Ambientale, University of Transylvania, Cluj-Napoca, Romania
Author-Name: Tudor Popescu
Author-Workplace-Name: Facultatea de Științe Ambientale, Moldova International University, Iasi, Romania
Title:  Harnessing the Power of Artificial Intelligence for the Detection and Removal of Contaminants in Water: A Comprehensive Review
Abstract:  As concerns over water quality and scarcity intensify globally, the integration of artificial intelligence (AI) technologies into water management systems has emerged as a promising solution. This comprehensive review examines the pivotal role of AI in the detection and removal of contaminants from water sources. Through an exploration of cutting-edge technologies, machine learning algorithms, and their applications, this review provides insights into the current state, challenges, and future prospects of AI-driven approaches in water quality management.
Keywords: Artificial Intelligence, Water quality management, Contaminant detection, Contaminant removal, Treatment plants
Journal: Inventum Biologicum: An International Journal of Biological Research
Pages: 62-67
Volume: 3
Issue: 3
Year: 2023
File-URL: https://journals.worldbiologica.com/ib/article/view/60
File-Format: text/html
File-URL: https://journals.worldbiologica.com/ib/article/view/60/102
File-Format: Application/pdf
Handle: RePEc:adg:ibijbr:v:3:y:2023:i:3:p:62-67