The dramatic increase in the connectivity demand results in an excessive amount of Internet
of Things (IoT) sensors. To meet the management needs of these large-scale networks, such …

Carbon emissions significantly contribute to global warming, amplifying the occurrence of
extreme weather events and negatively impacting the overall environmental transformation …

Microscopic emission estimation based on driving states plays a crucial role in controlling
the pollution of on-road vehicles. Existing research has evolved from fitting nonlinear models …

EU is actively moving towards the implementation of Euro-7 regulations, thus placing a
strong emphasis on real-road emissions. Euro-7 introduced OBM (on-board monitoring) …

Most object detection models for autonomous driving may experience a significant drop in
performance when deployed in real-world applications, due to the well-known domain shift …

Driving style and road traffic play pivotal roles in the development of smart cities, influencing
traffic flow, safety, and environmental sustainability. This study presents an innovative …

Vehicle carbon emission models are essential for monitoring and managing transportation
emissions. Considering the numerous vehicle types and diverse driving conditions …

Off-road machinery is one of the significant contributors to air pollution due to its large
quantity. In this study, a deep learning model was developed to predict the transient engine …

Personal vehicles play a significant role in contributing to the issue of global warming.
Gasoline used in cars emits an estimated 24 pounds of carbon dioxide and other …

In this paper, we present the design, implementation, and deployment of an IoT-based
system for machine learning (ML)-based real-time prediction of CO 2 exhaust concentrations …