Deep learning models for digital image processing: a review

R Archana, PSE Jeevaraj - Artificial Intelligence Review, 2024 - Springer
Within the domain of image processing, a wide array of methodologies is dedicated to tasks
including denoising, enhancement, segmentation, feature extraction, and classification …

Entropy generation and CO2 emission in presence of pulsating oscillations in a bifurcating thermoacoustic combustor with a Helmholtz resonator at off-design …

Y Guan, S Becker, D Zhao, J Xu, M Shahsavari… - Aerospace Science and …, 2023 - Elsevier
In this work, we develop a 2D numerical model of a Y-shaped bifurcating combustor with a
Helmholtz resonator attached. Propane (C 3 H 8) is fueled and burnt with air by applying …

Intelligent reconstruction of the flow field in a supersonic combustor based on deep learning

H Chen, M Guo, Y Tian, J Le, H Zhang, F Zhong - Physics of Fluids, 2022 - pubs.aip.org
The data-driven intelligent reconstruction of a flow field in a supersonic combustor aids the
real-time monitoring of wave system evolution in a scramjet flow field structure, allowing the …

Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning

Y Huang, C Jiang, K Wan, Z Gao, L Vervisch… - Aerospace Science and …, 2022 - Elsevier
To control the global warming trends, carbon footprint of all the human activities needs to be
restricted, including the aviation industry. Mixing hydrogen with commercial kerosene jet …

A hybrid deep neural network model for NOx emission prediction of heavy oil-fired boiler flames

Z Han, Y Xie, MM Hossain, C Xu - Fuel, 2023 - Elsevier
Accurate NOx emission monitoring is essential for an in-depth understanding of the
combustion state. However, establishing an accurate emission prediction model based on …

Segmentation of schlieren images of flow field in combustor of scramjet based on improved fully convolutional network

L Li, Y Tian, X Deng, M Guo, J Le, H Zhang - Physics of Fluids, 2022 - pubs.aip.org
Extraction of the wave structure of the flow field in the combustor of the scramjet is important
for main flow control and performance evaluation of the scramjet. In this study, a deep …

[HTML][HTML] Experimental investigation of chemiluminescence and NOx emission characteristics in a lean premixed dual-swirl flame

Y Liu, J Tan, Z Gao, T Wang, M Wan - Case Studies in Thermal Engineering, 2021 - Elsevier
Temperature and radical concentration are the two most important factors affecting NOx
emissions in the methane combustion, while chemiluminescence is from the radiative …

Predicting combustion behavior in rotating detonation engines using an interpretable deep learning method

D Shen, Z Sheng, Y Zhang, G Rong, K Wu, J Wang - Physics of Fluids, 2023 - pubs.aip.org
As rotating detonation engine (RDE) is maturing toward engineering implementation, it is a
crucial step in developing real-time diagnostics capable of monitoring the combustion state …

A machine learning-based approach for flames classification in industrial heavy oil-fire boilers

G Ronquillo-Lomeli, AI García-Moreno - Expert Systems with Applications, 2024 - Elsevier
The burner combustion tuning is a complex problem that has been studied through flame
monitoring and characterization. It has been observed that the flame electromagnetic …

[HTML][HTML] The Role of Blockchain-Secured Digital Twins in Promoting Smart Energy Performance-Based Contracts for Buildings

M Nour El-Din, J Poças Martins, NMM Ramos… - Energies, 2024 - mdpi.com
Energy performance-based contracts (EPCs) offer a promising solution for enhancing the
energy performance of buildings, which is an overarching step towards achieving Net Zero …