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) …
Machine learning prediction of mechanical properties of concrete: Critical review
Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …
these properties are often required by design codes. The emergence of new concrete …
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …
science. Until recently, its methods have focused on solving problem instances in isolation …
Review of artificial intelligence applications in engineering design perspective
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
Reliable computation offloading for edge-computing-enabled software-defined IoV
Internet of Vehicles (IoV) has drawn great interest recent years. Various IoV applications
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …
Volumetric emission tomography for combustion processes
This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …
tomography for combustion processes. Many flames that are of interest to scientists and …
An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks
With the incremental use of emails as an essential and popular communication mean over
the Internet, there comes a serious threat that impacts the Internet and the society. This …
the Internet, there comes a serious threat that impacts the Internet and the society. This …
A genetic algorithm optimization approach for smart energy management of microgrids
R Torkan, A Ilinca, M Ghorbanzadeh - Renewable Energy, 2022 - Elsevier
Optimal management and planning of microgrids (MG) are the most important goals for
operators. In this study, a Multiobjective Genetic Algorithm (MOGA) is applied to the …
operators. In this study, a Multiobjective Genetic Algorithm (MOGA) is applied to the …
[HTML][HTML] Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
I de Pater, A Reijns, M Mitici - Reliability Engineering & System Safety, 2022 - Elsevier
The increasing availability of condition monitoring data for aircraft components has
incentivized the development of Remaining Useful Life (RUL) prognostics in the past years …
incentivized the development of Remaining Useful Life (RUL) prognostics in the past years …
Reactive power management in renewable rich power grids: A review of grid-codes, renewable generators, support devices, control strategies and optimization …
Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …
increasingly being integrated to the power grid. With the high renewable power penetration …