The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Artificial Intelligence as a Sustainable Tool for Optimizing the Wastewater Treatment Plant
Abstract
The field of artificial intelligence (AI) is advancing at a rapid pace. The evolving technology can replicate practical scenarios in different industries, such as water purification and wastewater treatment. It has demonstrated its value in agriculture, the automotive industry, banking, finance, space exploration, and creative technology. Wastewater treatment has seen significant improvements with the integration of artificial intelligence, which enhances efficiency, speed, and autonomy. Nevertheless, there are notable obstacles and limitations to address, such as data management challenges, interpretability concerns, model replicability and consistency issues, and the need for scholarly transparency. Improving model causality, clarity, data management, and repeatability are proposed solutions. The chapter introduced some of the recent artificial intelligence based optimization methodologies to optimize waste water treatment plants.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|