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The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …
combat global climate change. We identify two crucial opportunities that AI offers in this …
A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions
China, India, and the USA are the world's biggest energy consumers and CO 2 emitters.
Being the leading contributors to climate change, these economies are also at the core of …
Being the leading contributors to climate change, these economies are also at the core of …
Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions
P Delanoë, D Tchuente, G Colin - Journal of environmental management, 2023 - Elsevier
Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI)
such as Machine Learning (ML) models that leverage data to optimize the performances of …
such as Machine Learning (ML) models that leverage data to optimize the performances of …
Estimation of transport CO2 emissions using machine learning algorithm
S Li, Z Tong, M Haroon - Transportation Research Part D: Transport and …, 2024 - Elsevier
This study investigates carbon dioxide emissions from light-duty diesel trucks using a
portable emission measurement system (PEMS) and a global positioning system. Two …
portable emission measurement system (PEMS) and a global positioning system. Two …
Short-, medium-, and long-term prediction of carbon dioxide emissions using wavelet-enhanced extreme learning machine
Carbon dioxide (CO2) is the main greenhouse gas responsible for global warming. Early
prediction of CO2 is critical for develo** strategies to mitigate the effects of climate …
prediction of CO2 is critical for develo** strategies to mitigate the effects of climate …
Prediction of carbon dioxide emissions in China using a novel grey model with multi-parameter combination optimization
F Yin, Z Bo, L Yu, J Wang - Journal of Cleaner Production, 2023 - Elsevier
With the rapid development of industrialization and urbanization in China, the carbon
dioxide emissions keep increasing for a long time. It is of great significance to reasonably …
dioxide emissions keep increasing for a long time. It is of great significance to reasonably …
A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies
S Kumar - Ecological informatics, 2023 - Elsevier
Industrial development has contributed to carbon emissions majorly, resulting in high
concentrations of greenhouse gases (GHGs) in the environment leading to climate change …
concentrations of greenhouse gases (GHGs) in the environment leading to climate change …
A novel integrated optimization model for carbon emission prediction: A case study on the group of 20
Y Zhang, X Li, Y Zhang - Journal of environmental management, 2023 - Elsevier
Carbon emission is a central factor in the study of the greenhouse effect and a crucial
consideration in environmental policy making. Therefore, it is essential to establish carbon …
consideration in environmental policy making. Therefore, it is essential to establish carbon …
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Accurate forecasting of rainfall is extremely important due to its complex nature and
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …