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Time-evolving data science and artificial intelligence for Advanced Open Environmental Science (TAIAO) programme

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  • معلومة اضافية
    • Contributors:
      Larson, K
    • بيانات النشر:
      International Joint Conferences on Artificial Intelligence (IJCAI)
    • الموضوع:
      2024
    • Collection:
      The University of Waikato: Research Commons
    • الموضوع:
    • نبذة مختصرة :
      New Zealand's unique ecosystems face increasing threats from climate change, impacting biodiversity and posing challenges to safety, livelihoods, and well-being. To tackle these complex issues, advanced data science and artificial intelligence techniques can provide unique solutions. Currently, in its fourth year of a seven-year program, TAIAO focuses on methods for analyzing environmental datasets. Recognizing this urgency, the open-source TAIAO platform was developed. This platform enables new artificial intelligence research for environmental data and offers an open-access repository to enhance reproducibility in the field. This paper will showcase four environmental case studies, artificial intelligence research, platform implementation details, and future development plans.
    • File Description:
      application/pdf
    • Relation:
      Proc 33rd International Joint Conference on Artificial Intelligence (IJCAI 24); https://hdl.handle.net/10289/16982
    • الرقم المعرف:
      10.24963/ijcai.2024/809
    • الدخول الالكتروني :
      https://hdl.handle.net/10289/16982
      https://doi.org/10.24963/ijcai.2024/809
    • Rights:
      © 2024 International Joint Conferences on Artificial Intelligence (IJCAI). ; http://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.136F18AE