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@article{191348,
        author = {Rabia Sharma and Pankaj Sharma},
        title = {AI-Powered Waste Resource Recovery: Opportunities, Challenges, And Future Directions},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {27-29},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191348},
        abstract = {The rapid growth of waste generation poses significant environmental and economic challenges, necessitating the development of efficient and sustainable waste management strategies. Artificial intelligence (AI) has emerged as a transformative technology in waste resource recovery, offering unprecedented opportunities for increasing efficiency, enhancing recycling processes, and promoting sustainable practices. This review provides a comprehensive overview of AI-driven waste resource recovery, highlighting the applications of machine learning (ML), deep learning (DL), and computer vision (CV) in automating waste sorting, optimizing resource recovery, and reducing environmental impacts. The current state of AI in waste resource recovery is outlined, identifying key challenges and future directions. Further research avenues and practical implementations are suggested, emphasizing the potential of AI to contribute to a circular economy.},
        keywords = {Artificial intelligence, waste management, resource recovery, machine learning, circular economy.},
        month = {},
        }