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

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ABI
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Machine Learning: New Ideas and Tools in Environmental Science and Engineering
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Urban heat islands and their effects on thermal comfort in the US: New York and New Jersey
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Effects of new urbanization on China's carbon emissions: A quasi-natural experiment based on the improved PSM-DID model
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Grasshopper optimization algorithm for multi-objective optimization problems
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Kinetic mechanisms of methane hydrate replacement and carbon dioxide hydrate reorganization
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Modeling and Assessment of Carbon Emissions in Additive-Subtractive Integrated Hybrid Manufacturing Based on Energy and Material Analysis
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Мақола20243 иқтибос
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Machine learning-based time series models for effective CO2 emission prediction in India
Surbhi Kumari, Sunil Kumar Singh
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Prediction of CO2 solubility in ionic liquids using machine learning methods
Zhen Song, Huaiwei Shi, Xiang Zhang +1
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The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data
Ji Luo, Wuyang Zhuo, Siyan Liu +1
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Aligning artificial intelligence with climate change mitigation
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Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model
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Specialized deep neural networks for battery health prognostics: Opportunities and challenges
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Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’ economy in China
Yang Yu, Yu Du
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Multi-objective spotted hyena optimizer: A Multi-objective optimization algorithm for engineering problems
Gaurav Dhiman, Vijay Kumar
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An efficient optimization approach for designing machine learning models based on genetic algorithm
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Data-Driven Strategies for Accelerated Materials Design
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Applied Machine Learning for Prediction of CO<sub>2</sub> Adsorption on Biomass Waste-Derived Porous Carbons
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