A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …

Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance
to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a …

In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …

An internal combustion engine (ICE) is a highly nonlinear dynamic and complex
engineering system whose operation is constrained by operational limits, including …

Zirconia-based electrochemical sensors have revolutionized oxygen monitoring and
combustion control. These robust, solid-state devices are found in virtually every internal …

Abstract Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods are
designed to accurately predict Laminar Flame Speed (LFS) over the entire engine operating …

Yttrium-stabilized zirconia (YSZ)-based mixed potential-type NO x sensors have broad
application prospects in automotive exhaust gas detection. Great efforts continue to be made …

Formaldehyde (HCHO), as a common volatile organic compound, has a serious impact on
human health in the daily lives and industrial production scenarios. Given the security issue …

Combinations of semiconductor metal oxide (SMO) sensors, electrochemical (EC) sensors,
and photoionization detection (PID) sensors were used to discriminate chemical hazards on …