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Applied Artificial Intelligence for Sustainability

Author

Listed:
  • Muhammad Syafrudin

    (Department of Artificial Intelligence and Data Science, Sejong University, Seoul 05006, Republic of Korea
    These authors contributed equally to this work.)

  • Ganjar Alfian

    (Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
    These authors contributed equally to this work.)

  • Norma Latif Fitriyani

    (Department of Artificial Intelligence and Data Science, Sejong University, Seoul 05006, Republic of Korea)

  • Muhammad Anshari

    (School of Business & Economics, Universiti Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei)

Abstract

In the contemporary era, modern civilization is immersed in a technologically interconnected environment, where numerous applications within the digital ecosystem harness advanced artificial intelligence (AI) techniques [...]

Suggested Citation

  • Muhammad Syafrudin & Ganjar Alfian & Norma Latif Fitriyani & Muhammad Anshari, 2024. "Applied Artificial Intelligence for Sustainability," Sustainability, MDPI, vol. 16(6), pages 1-5, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2469-:d:1358026
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    References listed on IDEAS

    as
    1. Le Gao & Kun Wang & Xin Zhang & Chen Wang, 2023. "Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    2. Xiaobo Liu & Yen-Lin Chen & Lip Yee Por & Chin Soon Ku, 2023. "A Systematic Literature Review of Vehicle Routing Problems with Time Windows," Sustainability, MDPI, vol. 15(15), pages 1-20, August.
    Full references (including those not matched with items on IDEAS)

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