Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
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) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
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 …
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities
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 …
to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a …
Integrating machine learning and model predictive control for automotive applications: A review and future directions
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 …
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
[HTML][HTML] Model predictive control of internal combustion engines: A review and future directions
An internal combustion engine (ICE) is a highly nonlinear dynamic and complex
engineering system whose operation is constrained by operational limits, including …
engineering system whose operation is constrained by operational limits, including …
A review of zirconia oxygen, NOx, and mixed potential gas sensors–History and current trends
S Halley, KP Ramaiyan, L Tsui, F Garzon - Sensors and Actuators B …, 2022 - Elsevier
Zirconia-based electrochemical sensors have revolutionized oxygen monitoring and
combustion control. These robust, solid-state devices are found in virtually every internal …
combustion control. These robust, solid-state devices are found in virtually every internal …
Laminar flame speed modeling for low carbon fuels using methods of machine learning
S Shahpouri, A Norouzi, C Hayduk, A Fandakov… - Fuel, 2023 - Elsevier
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 …
designed to accurately predict Laminar Flame Speed (LFS) over the entire engine operating …
Machine Learning-Assisted Development of Sensitive Electrode Materials for Mixed Potential-Type NO2 Gas Sensors
B Wang, W Li, Q Lu, Y Zhang, H Yu… - … Applied Materials & …, 2021 - ACS Publications
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 …
application prospects in automotive exhaust gas detection. Great efforts continue to be made …
Pulsed Airstream‐Driven Hierarchical Micro‐Nano Pore Structured Triboelectric Nanogenerator for Wireless Self‐Powered Formaldehyde Sensing
G Wang, Z Ren, L Zheng, Y Kang, N Luo, Z Qiao - Small, 2024 - Wiley Online Library
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 …
human health in the daily lives and industrial production scenarios. Given the security issue …
Rational design of hybrid sensor arrays combined synergistically with machine learning for rapid response to a hazardous gas leak environment in chemical plants
W Ku, G Lee, JY Lee, DH Kim, KH Park, J Lim… - Journal of hazardous …, 2024 - Elsevier
Combinations of semiconductor metal oxide (SMO) sensors, electrochemical (EC) sensors,
and photoionization detection (PID) sensors were used to discriminate chemical hazards on …
and photoionization detection (PID) sensors were used to discriminate chemical hazards on …