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Modeling of highways energy consumption with artificial intelligence and regression methods
(Springer, 2021)
While developing technology and industrialization factors increase production, they also lead to an increase in energy consumption at the same time. The transportation sector, which is a branch of industrialization, has ...
A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
(Taylor and Francis Ltd., 2022)
Solar energy has a key role in producing clean and emissions-free power compare to conventional methods. However, sustainable development also requires a reliable and predictable energy source. It also needs methods to ...
Prediction of CO2 emission in transportation sector by computational intelligence techniques
(Inderscience Publishers, 2022)
Carbon footprint is considered the main cause of global warming. There are various studies on environmental sustainability carried out global scale. In this study, prediction models were developed for CO2 emissions in ...
Predicting monthly streamflow using artificial neural networks and wavelet neural networks models
(Springer, 2022)
Improving predicting methods for streamflow series is an important task for the water resource planning, management, and agriculture process. This study demonstrates the development and effectiveness of a new hybrid model ...