Work

Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review

Year: 2023

Type: article

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2023.162797

Authors: Raj Kumar Oruganti, Alka Pulimoottil Biji, Tiamenla Lanuyanger, Pau Loke Show, Malinee Sriariyanun, Venkata K.K. Upadhyayula, Venkataramana Gadhamshetty, Debraj Bhattacharyya

Institutions: Indian Institute of Technology Hyderabad, Khalifa University of Science and Technology, King Mongkut's University of Technology North Bangkok, Umeå University, South Dakota School of Mines and Technology

Language: English

Topic: Algal biology and biofuel production

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production

Open Access status: closed

OpenAlex ID: W4323923505

FWCI: 9.721

Cites: 95

Cited by: 208

Related to: 10