Advances in civil and industrial engineering book series, Год журнала: 2025, Номер unknown, С. 159 - 182

Опубликована: Фев. 14, 2025

The integration of energy optimization and AI-powered adsorption technologies holds significant potential for sustainable water treatment. This chapter discusses advanced methods adsorption, amplified by artificial intelligence, in a bid to solve the challenge quality with minimized consumption. Some focus areas include predictive models AI-driven efficiency, real-time monitoring contaminants, adsorbent materials. is an area where machine learning deep techniques enhance treatment systems greater operational less footprint, more scalable. Other novel adsorbents nanomaterials which have been discussed this chapter, discussion on possibility realizing high capacity selectivity. explores AI analytics enhancing global sustainability goals presenting case studies practical frameworks demonstrate feasibility real-world applications.

Язык: Английский