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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
Estimation of CO2 Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning: A Comprehensive Approach
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
Prediction of Carbon Dioxide Emissions in Fossil Fuel Vehicles with Machine Learning
Exploring machine learning models for predicting greenhouse gas emissions in Africa’s building sector: A case study of six nations
Abdullahi Mohamud Adam, Abdikarim Nor Osman, Abdinasir Mohamed Yusuf, Huseyin Gokcekus and Farhad Bolouri Environmental Systems Research 14(1) (2025) https://doi.org/10.1186/s40068-025-00407-5
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
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 (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