Predicting carbon dioxide emissions in the United States of America using machine learning algorithms - Chukwunonso, Bosah Philip; AL-Wesabi, Ibrahim; Shixiang, Li; AlSharabi, Khalil; Al-Shamma’a, Abdullrahman A.; Farh, Hassan M. Hussein; Saeed, Fahman; Kandil, Tarek; Al-Shaalan, Abdullah M. (Environmental science and pollution research international, 2024)
Keywords: Accuracy; Air Pollutants - analysis; Air Pollution; Algorithms; Alternative energy; Aquatic Pollution; Artificial neural networks; Atmospheric Protection/Air Quality Control/Air Pollution; carbon; Carbon dioxide; Carbon Dioxide - analysis; Carbon dioxide emissions; Climate Change; Climate change mitigation; data collection; Decomposition; Earth and Environmental Science; Ecotoxicology; Emissions; Emissions control; Energy efficiency; Energy policy; Energy sources; Environment; Environmental Chemistry; Environmental Health; Environmental Monitoring - methods; Environmental policy; Filters; Forecasting; Fossil fuels; Global warming; Greenhouse effect; Greenhouse gases; Human influences; humans; Learning algorithms; Machine Learning; Neural networks; Nodes; Pollution monitoring; Recurrent neural networks; Renewable energy; renewable energy sources; Renewable resources; Research Article; United States; Waste Water Technology; Water Management; Water Pollution Control; United States; United States--US; CO; Max–min normalization technique; emissions; Variation mode decomposition (VMD) technique; Machine-learning algorithms; CO2 emissions