Elsevier Applications of Artificial Intelligence in Removal of Emerging Contaminants: Sustainable Approach for Environmental Clean-up and Circular Economy

Applications of Artificial Intelligence in Removal of Emerging Contaminants: Sustainable Approach for Environmental Clean-up and Circular Economy focuses on the exploitation of various Artificial Intelligence (AI) tools to treat emerging contaminants and the restoration of contaminated sites. The book addresses critical environmental issues and challenges faced by society to meet such challenges. It highlights artificial intelligence and machine learning tools in the removal of environmental contaminants, such as industrial effluents, air, and to overcome limitations of conventional methods, predict water quality parameters and decrease the chances of error. Advanced tools, updated information, and future directions for researchers and scientists working in the bioremediation of emerging contaminants, bioenergy and reutilization of waste biomass in the production of value-added products for environmental safety are also thoroughly discussed. Provides knowledge on various emerging pollutants which are hazardous to the environment, human health, and the applications of different artificial intelligence (AI) tools for the bioremediation of contaminant removal Explores different aspects of biological methods using AI tools, including solutions for recycling and reuse Highlights ways AI can assist scientists to make smart and effective decisions on the identification of suitable sorbents to enhance the performance of the sorption process and protect our environment