Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to
global public health. In recent years, artificial intelligence (AI) has emerged as a …

Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …

An approach based on an artificial neural network (ANN) for the prediction of NOx emissions
from underground load–haul–dumping (LHD) vehicles powered by diesel engines is …

Deep learning approaches were applied to predict soot emissions under transient
conditions in a diesel engine using the worldwide harmonized light vehicles test procedure …

One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …

The present work successfully proposes a domain knowledge–guided Machine Learning
(ML) strategy, which successes the development of a water-tolerant anti-dust catalyst for …

The aim of this study was to develop a model structure and to train a model based on
chassis dynamometer datasets and subsequently use the trained model in conjunction with …

This paper applies and improves a methodology for estimating engine responses from
transient cycles using steady conditions according to a Design of Experiments (DoE). The …

Diesel NOX emission control is the main control content of diesel engines. Real-time high-
precision NOX emission prediction model is the basic guarantee for (1) Diesel combustion …

Artificial intelligence (AI), unlike natural intelligence, possesses the ability to problem-solving
activities by machines. As AI-based models increasingly provide robust approaches to …