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Applications of Data-Driven Approaches Using Artificial Intelligence Algorithms and Quantum Computing in Sustainability

원문정보

초록

영어
Artificial intelligence algorithms and quantum computing have become core computational methodologies for the applications of artificial intelligence techniques in smart and sustainable cities. In development and sustainability. Artificial intelligence technologies have faced numerous challenges in natural, social, and cultural aspects. The scientific dialogue on artificial intelligence has been significantly extended to understand and cover sustainability as the practice of living enclosed by resources into the distant future. Quantum computing can improve environmental management, applications of artificial intelligence technologies, big data analytics, and utilization of blockchain in smart and sustainable cities. Policy decision-makers may need to consider the introduction of quantum computing technologies for applications of artificial intelligence in their smart cities for urban growth in order to lower barriers to utilizing quantum artificial intelligence.

저자

  • Juyong Ko [ Department of Big Data Science, Korea University/Interdisciplinary Program in Biomedical Data Science Convergence, Korea University, Republic of Korea ]
  • Juwon Kim [ Division of Big Data Science ]
  • Dongha Kim [ Division of Big Data Science ]
  • Hyeonjun Nam [ Division of Big Data Science ]
  • Jai Woo Lee [ Department of Big Data Science, Korea University/Interdisciplinary Program in Biomedical Data Science Convergence, Korea University, Republic of Korea ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658