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Работы, на которые ссылается эта работа

Работ: 85

Работа: Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning

  1. A logical calculus of the ideas immanent in nervous activity

    Warren S. McCulloch, Walter Pitts

    Статья1943Цитирований: 10
    ABI
  2. Summarizing multiple aspects of model performance in a single diagram

    Karl E. Taylor

    Статья2001Цитирований: 6
    ABI
  3. Machine Learning Algorithms - A Review

    Batta Mahesh

    Обзорная статья2020Цитирований: 6
    ABI
  4. Random Forest

    Steven J. Rigatti

    Статья2017Цитирований: 6
    ABI
  5. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

    Seyedali Mirjalili

    Статья2015Цитирований: 5
    ABI
  6. Grasshopper Optimisation Algorithm: Theory and application

    Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis

    Статья2017Цитирований: 4
    ABI
  7. Machine Learning: New Ideas and Tools in Environmental Science and Engineering

    Shifa Zhong, Kai Zhang, Majid Bagheri +16

    Статья2021Цитирований: 3
    ABI
  8. Urban heat islands and their effects on thermal comfort in the US: New York and New Jersey

    Zhengtong Yin, Zhixin Liu, Xuan Liu +2

    Статья2023Цитирований: 3
    ABI
  9. Grasshopper optimization algorithm for multi-objective optimization problems

    Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Shahrzad Saremi +2

    Статья2017Цитирований: 3
    ABI
  10. Kinetic mechanisms of methane hydrate replacement and carbon dioxide hydrate reorganization

    Zhandong Li, Bicheng Gan, Zhong Li +5

    Статья2023Цитирований: 3
    ABI
  11. Machine learning-based time series models for effective CO2 emission prediction in India

    Surbhi Kumari, Sunil Kumar Singh

    Статья2022Цитирований: 3
    ABI
  12. Prediction of CO2 solubility in ionic liquids using machine learning methods

    Zhen Song, Huaiwei Shi, Xiang Zhang +1

    Статья2020Цитирований: 3
    ABI
  13. The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data

    Ji Luo, Wuyang Zhuo, Siyan Liu +1

    Статья2024Цитирований: 3
    ABI
  14. Aligning artificial intelligence with climate change mitigation

    Lynn H. Kaack, Priya L. Donti, Emma Strubell +3

    Статья2022Цитирований: 2
    ABI
  15. Specialized deep neural networks for battery health prognostics: Opportunities and challenges

    Jingyuan Zhao, Xuebing Han, Minggao Ouyang +1

    Статья2023Цитирований: 2
    ABI
  16. Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China

    Yang Yu, Yu Du

    Статья2018Цитирований: 2
    ABI
  17. Multi-objective spotted hyena optimizer: A Multi-objective optimization algorithm for engineering problems

    Gaurav Dhiman, Vijay Kumar

    Статья2018Цитирований: 2
    ABI
  18. Data-Driven Strategies for Accelerated Materials Design

    Robert Pollice, Gabriel dos Passos Gomes, Matteo Aldeghi +8

    Статья2021Цитирований: 2
    ABI
  19. Interpretable and Explainable Machine Learning for Materials Science and Chemistry

    Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi +1

    Статья2022Цитирований: 2
    ABI