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Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment
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Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment (2023)Application of Artificial Intelligence to…Forecasting carbon dioxide emissions: application of a novel two-stage procedure based on machine learning models (2023)Forecasting carbon dioxide em…Predicting CO2 Emission Footprint Using AI through Machine Learning (2022)Predicting CO2 Emission Footp…Machine learning-based time series models for effective CO2 emission prediction in India (2022)Machine learning-based time s…A comparative analysis to forecast carbon dioxide emissions (2022)A comparative analysis to for…Prediction of CO2 emissions using deep learning hybrid approach: A Case Study in Indian Context (2019)Prediction of CO2 emissions u…Carbon emissions and oil consumption in Saudi Arabia (2015)Carbon emissions and oil cons…The human brain in numbers: a linearly scaled-up primate brain (2009)The human brain in numbers: a…Fuzzy sets (1965)Fuzzy setsEVOLUTION OF THE BRAIN AND INTELLIGENCE (1975)Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled‐up primate brain (2009)The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost (2012)The evolution of self-control (2014)Consciousness: here, there and everywhere? (2015)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Carbon dioxide emissions and economic growth: Panel data evidence from developing countries (2009)Energy consumption, economic growth and CO2 emissions in Middle East and North African countries (2012)World Development indicators (2015)Determinants of environmental sustainability: Evidence from Saudi Arabia (2018)Economic and non-economic sector reforms in carbon mitigation: Empirical evidence from Chinese provinces (2019)Sectorial study of technological progress and CO2 emission: Insights from a developing economy (2019)Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission (2011)Energy-related CO2 emission forecast for Turkey and Europe and Eurasia (2017)Bounds testing approaches to the analysis of level relationships (2001)Economic development, pollutant emissions and energy consumption in Malaysia (2007)Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia (2013)A novel integrated optimization model for carbon emission prediction: A case study on the group of 20 (2023)Machine learning approaches for predictions of CO2 emissions in the building sector (2024)An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models (2025)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Machine learning advances for time series forecasting (2021)Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models (2024)A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets (2025)Industrial and business forecasting methods (1982)Consensus on consensus: a synthesis of consensus estimates on human-caused global warming (2016)Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021)Achieving sustainable practices: environmental sustainability and semi-supervised learning for carbon footprint reduction (2024)Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm (2025)Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series (1971)Predicting stock market index using fusion of machine learning techniques (2014)Wind energy for sustainable development: Driving factors and future outlook (2021)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
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References

  • 1965Fuzzy sets68,735 cited
  • 2009The human brain in numbers: a linearly scaled-up primate brain1,777 cited
  • 2022Machine learning-based time series models for effective CO2 emission prediction in India206 cited
  • 2015Carbon emissions and oil consumption in Saudi Arabia149 cited
  • 2022A comparative analysis to forecast carbon dioxide emissions101 cited
  • 2022Predicting CO2 Emission Footprint Using AI through Machine Learning84 cited
  • 2019Prediction of CO2 emissions using deep learning hybrid approach: A Case Study in Indian Context51 cited
  • 2023Forecasting carbon dioxide emissions: application of a novel two-stage procedure based on machine learning models47 cited

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