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Chong, J. W. R., Khoo, K. S., Chew, K. W., Ting, H., Iwamoto, K., Ruan, R. et al. (2024). Artificial Intelligence-Driven Microalgae Autotrophic Batch Cultivation: A Comparative Study of Machine and Deep Learning-Based Image Classification Models. Algal Research, 79, Article ID: 103400.
https://doi.org/10.1016/j.algal.2024.103400

has been cited by the following article:

• TITLE: Circular Economy Transitions: Evaluating the Economic and Environmental Impacts of Waste-to-Resource Systems

  AUTHORS: Mohammed Sulaiman Abuzaid Mahmoud

  KEYWORDS: Circular Economy, Waste-to-Resource Systems, Economic Performance, Environmental Sustainability, Technological Factors, Regulatory Factors, Socio-Cultural Factors, Sustainable Development

  JOURNAL NAME: Modern Economy, Vol.17 No.1, January 12, 2026

  ABSTRACT: This study quantitatively investigates the relationship between the implementation of waste-to-resource systems and the economic and environmental performance of circular economy transitions. Using survey data from 350 respondents, the research employs regression analysis to test its hypotheses. The key finding is that adopting waste-to-resource systems has a significant positive correlation with both economic gains and environmental sustainability, with effectiveness being moderated by technological, regulatory, and socio-cultural factors.