.... Traditional methods of testing and optimizing the performances of IC engine are complex, time-consuming, and expensive. This has led the researchers to shift their focus to faster and computationally feasible techniques like soft computing (SC) and machine learning (ML) algorithms, which predict the optimum...

...-driven approach for tackling the computational overhead of injector simulations, whereby the transient injection profiles are emulated for a side-oriented, single-hole diesel injector using a Bayesian machine-learning framework. First, an interpretable Bayesian learning strategy was employed...

..., VGV1 = 0.3 deg, VGV2 = 0.1 deg, VGV3 = 0.1 deg, VGV4 = 0.0 deg, VGV5 = 0.0 deg. e-mail:  m.burlaka@softinway.com e-mail:  l.moroz@softinway.com 11 07 2022 11 08 2022 19 10 2022 axial compressor performance map machine learning artificial neural network compressor...

...Michael T. Tong With the rise in big data and analytics, machine learning is transforming many industries. It is being increasingly employed to solve a wide range of complex problems, producing autonomous systems that support human decision-making. For the aircraft engine industry, machine learning...