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ARIMA component-switching models for forecasting CO2 transport emissions in the Middle East
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Estimation of CO2 Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning: A Comprehensive Approach
Exploring machine learning models for predicting greenhouse gas emissions in Africa’s building sector: A case study of six nations
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The energy effect of blockchain technology innovation in the Industry 5.0 Era: From the perspective of carbon emissions
Yunjing Wang, Jinfang Tian, Siyang Sun, Yufei Liu, Xiaoqi Ren, Muhammad Zakarya, Santosh Tirunagari, Jinguang Han and Peiying Zhang Science and Technology for Energy Transition 80 4 (2025) https://doi.org/10.2516/stet/2024094
Predicting transportation-related greenhouse gas emissions in Africa’s top emitters: a machine learning approach
Abdullahi Mohamud Adam, Abdinasir Mohamed Yusuf, Ilham Yahya Amir, Omar Abdi Arab and Omar Aweis Ali Environmental Sciences Europe 37(1) (2025) https://doi.org/10.1186/s12302-025-01223-5
Modeling of CO2 Emission for Light-Duty Vehicles: Insights from Machine Learning in a Logistics and Transportation Framework
Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment
Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha and Kamruddin Nur Scientific Reports 15(1) (2025) https://doi.org/10.1038/s41598-025-87233-y
Deep Learning vs. Gradient Boosting: Optimizing Transport Energy Forecasts in Thailand Through LSTM and XGBoost
Thanapong Champahom, Chinnakrit Banyong, Thananya Janhuaton, Chamroeun Se, Fareeda Watcharamaisakul, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao Energies 18(7) 1685 (2025) https://doi.org/10.3390/en18071685
Determinants of carbon emissions in Africa: new evidence based on machine learning algorithms
Edwin Twum Ayimadu, Yaolin Liu, Isaac Osei Asante, Donatus Dunee and Grant Charles Mwakipunda Environment, Development and Sustainability 28(7) 15919 (2024) https://doi.org/10.1007/s10668-024-05566-6
Analysis of the Impact of Selected Dynamic Parameters of a Motor Vehicle on CO2 Emissions Using Logistic Regression