Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Computational and statistical tools help manage the prevailing challenges of the 17
Sustainable Development Goals (SDGs) by providing meticulous understanding of …

The paper analyzes the impact of direct external factors on energy demand during the
process of hot mix asphalt production. The elements stemming from the conditions of …

This study conducted a thorough analysis of energy consumption and greenhouse gas
(GHG) emissions in the production of hot mix asphalt. The primary sources of energy usage …

The transport infrastructure's pavement is made of asphalt layers, placed and compacted.
The asphalt mixture is produced in an asphalt mixing plant (AMP) using expensive …