In recent decades, many countries have encountered air pollution and environmental
problems caused by greenhouse gas (GHG) emissions. One of the essential approaches to …

This paper presents a novel approach to predict carbon dioxide (CO 2), nitrogen oxides
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …

Air pollution is a major obstacle to future sustainability, and traffic pollution has become a
large drag on the sustainable developments of future metropolises. Here, combined with the …

Urban environmental policies need to be rectified considering the spatioemporal variations
of traffic emissions. However, knowledge to support such a decision-making process is …

Air pollution is a primary concern, causing around 7 million premature deaths annually, with
traffic-related sources contributing 23%–45% of emissions. While several studies have …

Various systems are increasing gradually to reduce environmental concerns carbon capture,
use, and storage (CCUS) systems are one of the most preferred processes in this context …

Reducing CO 2 emissions from coal-fired power plants is an urgent global issue. Effective
and precise monitoring of CO 2 emissions is a prerequisite for optimizing electricity …

To help systematically lower anthropogenic Greenhouse gas (GHG) emissions, accurate
and precise GHG emission prediction models have become a key focus of climate research …

It has been well-recognized that driving behaviors significantly impact the fuel consumption
of vehicles. To explore how well deep learning methods can predict fuel consumption …

This study investigates carbon dioxide emissions from light-duty diesel trucks using a
portable emission measurement system (PEMS) and a global positioning system. Two …