The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Wastewater Treatment and Recycling Using Adsorption Enhanced by Artificial Neural Networks
|
|
Author(s): Soukayna Maitouf (Faculty of Sciences Agadir, Morocco), Ahmed Bachar (Ibn Zohr University, Morocco), Assia Mabrouk (Ibn Zohr University, Morocco)and Nadia Faska (Faculty of Applied Sciences Ait Melloul, Morocco)
Copyright: 2026
Pages: 36
Source title:
Computational Intelligence and Optimization Methods for Sustainable Water Management
Source Author(s)/Editor(s): Yassine Ezaier (Hassan II University, Casablanca, Morocco), Rajae Gaamouche (Moroccan School of Engineering Sciences, Rabat, Morocco)and Mohamed Lahby (Hassan II University, Casablanca, Morocco)
DOI: 10.4018/979-8-3373-2700-6.ch013
Purchase
|
Abstract
The world is facing a lack of freshwater because of high population growth rates, and an increase in industrial activities. Therefore, new approaches to wastewater treatment and recycling are essential in sustainable water management. This chapter focuses on the integration of adsorption, which is an economically feasible method of pollutant removal, and Artificial Neural Networks (ANNs), known for their exceptional skills in complex system modeling and process optimization. ANN aids in increasing the efficiency and flexibility of adsorption systems to ensure appropriate water quality for reuse. This integration is feasible and beneficial not only from an environmental perspective, but also from an economic one, as shown through its practical implementation in municipal and industrial settings.
Related Content
|
Muhammad Naeem, Salman Memon, Anita Larik, Syed Rizwan Mehdi, Hasan Ahmed Faridi, Khalida Khan, Sana Zafar, Manoj Kumar.
© 2026.
20 pages.
|
|
Imdad Ali Shah, N. Z. Jhanjhi.
© 2026.
12 pages.
|
|
Hafsa Muzammal, Muhammad Zaman, Muhammad Safdar, Muhammad Adnan Shahid, Zuhaib Nishtar, Muhammad Bilal, Muntaha Munir, Mehar Muhammad Haseeb, Aamir Raza, Syed Intsar Hussain Shah, Usman Zafar, Nalain E. Muhammad, Hafiz Muhammad Bilawal Akram.
© 2026.
30 pages.
|
|
Luminita Diaconu, Yassine Mouniane.
© 2026.
32 pages.
|
|
Kumar J. Parmar, Tejas Chandulal Chauhan, T. Premavathi.
© 2026.
32 pages.
|
|
Mahmoud Oudghiri, Mohamed El Bakkali, Yassine Mouniane, Nagla Abid, Samah Bouhassoun, Fatima-ezzahra Jaayefar, Fath Alah Elwahab, Issam El-Khadir, Ahmed Chriqui, Mohammed Ibriz.
© 2026.
26 pages.
|
|
Issam El-Khadir, Yassine Mouniane, Ahmed Chriqui, Mohamed El Bakkali, Driss Hmouni.
© 2026.
34 pages.
|
|
|