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85 ta ish

Ish: 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

    Maqola194310 iqtibos
    ABI

  2. Summarizing multiple aspects of model performance in a single diagram

    Karl E. Taylor

    Maqola20016 iqtibos
    ABI

  3. Machine Learning Algorithms - A Review

    Batta Mahesh

    Sharh maqola20206 iqtibos
    ABI

  4. Random Forest

    Steven J. Rigatti

    Maqola20176 iqtibos
    ABI

  5. Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm

    Tanveer Ahmad, Rafał Madoński, Dongdong Zhang +2

    Maqola20225 iqtibos
    ABI

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

    Seyedali Mirjalili

    Maqola20155 iqtibos
    ABI

  7. Grasshopper Optimisation Algorithm: Theory and application

    Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis

    Maqola20174 iqtibos
    ABI

  8. Machine Learning: New Ideas and Tools in Environmental Science and Engineering

    Shifa Zhong, Kai Zhang, Majid Bagheri +16

    Maqola20213 iqtibos
    ABI

  9. Urban heat islands and their effects on thermal comfort in the US: New York and New Jersey

    Zhengtong Yin, Zhixin Liu, Xuan Liu +2

    Maqola20233 iqtibos
    ABI

  10. Effects of new urbanization on China's carbon emissions: A quasi-natural experiment based on the improved PSM-DID model

    Aiting Xu, Miaoyuan Song, Yunguang Wu +3

    Maqola20243 iqtibos
    ABI

  11. Grasshopper optimization algorithm for multi-objective optimization problems

    Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Shahrzad Saremi +2

    Maqola20173 iqtibos
    ABI

  12. Kinetic mechanisms of methane hydrate replacement and carbon dioxide hydrate reorganization

    Zhandong Li, Bicheng Gan, Zhong Li +5

    Maqola20233 iqtibos
    ABI

  13. Modeling and Assessment of Carbon Emissions in Additive-Subtractive Integrated Hybrid Manufacturing Based on Energy and Material Analysis

    Zhongxin Liu, Yanhua Zhao, Qian Wang +2

    Maqola20243 iqtibos
    ABI

  14. Machine learning-based time series models for effective CO2 emission prediction in India

    Surbhi Kumari, Sunil Kumar Singh

    Maqola20223 iqtibos
    ABI

  15. Prediction of CO2 solubility in ionic liquids using machine learning methods

    Zhen Song, Huaiwei Shi, Xiang Zhang +1

    Maqola20203 iqtibos
    ABI

  16. The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data

    Ji Luo, Wuyang Zhuo, Siyan Liu +1

    Maqola20243 iqtibos
    ABI

  17. Aligning artificial intelligence with climate change mitigation

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

    Maqola20222 iqtibos
    ABI

  18. Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

    Kailin Shang, Linfeng Xu, Xuan Liu +5

    Maqola20232 iqtibos
    ABI

  19. Specialized deep neural networks for battery health prognostics: Opportunities and challenges

    Jingyuan Zhao, Xuebing Han, Minggao Ouyang +1

    Maqola20232 iqtibos
    ABI

  20. Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China

    Yang Yu, Yu Du

    Maqola20182 iqtibos
    ABI

  21. Multi-objective spotted hyena optimizer: A Multi-objective optimization algorithm for engineering problems

    Gaurav Dhiman, Vijay Kumar

    Maqola20182 iqtibos
    ABI

  22. An efficient optimization approach for designing machine learning models based on genetic algorithm

    Khader M. Hamdia, Xiaoying Zhuang, Timon Rabczuk

    Maqola20202 iqtibos
    ABI

  23. Data-Driven Strategies for Accelerated Materials Design

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

    Maqola20212 iqtibos
    ABI

  24. Applied Machine Learning for Prediction of CO<sub>2</sub> Adsorption on Biomass Waste-Derived Porous Carbons

    Xiangzhou Yuan, Manu Suvarna, Sean Low +5

    Maqola20212 iqtibos
    ABI

  25. Interpretable and Explainable Machine Learning for Materials Science and Chemistry

    Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi +1

    Maqola20222 iqtibos
    ABI