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Accueil Tous les numéros Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 76 (2021) 72 Article's citations

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Development of an LSTM-CCF-MA Model for Predicting NOx Emission and Exhaust Temperature of a Diesel Engine

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Optimizing activation functions and hidden neurons in Backpropagation neural networks for real-time NOx concentration prediction

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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 46 (1) 2240 (2024)
https://doi.org/10.1080/15567036.2024.2305689

Deep long short-term memory neural networks as virtual sensors for marine diesel engine NOx prediction at transient conditions

Vasileios Karystinos and George Papalambrou
International Journal of Engine Research 25 (5) 1024 (2024)
https://doi.org/10.1177/14680874231217342

Novel virtual sensors development based on machine learning combined with convolutional neural-network image processing-translation for feedback control systems of internal combustion engines

Ratnak Sok, Arravind Jeyamoorthy and Jin Kusaka
Applied Energy 365 123224 (2024)
https://doi.org/10.1016/j.apenergy.2024.123224

Harnessing NOx emission management: A virtual sensor model for natural gas power generation engines with active pre-chamber

Javier Del-Valle-Echavarri, Jose Manuel Lopez-Guede and Julian Estevez
Internet of Things 27 101259 (2024)
https://doi.org/10.1016/j.iot.2024.101259

Task Transfer Learning for Prediction of Transient Nitrogen Oxides, Soot, and Total Hydrocarbon Emissions of a Diesel Engine

Seunghyup Shin, Minjae Kim, Jihwan Park, Sangyul Lee and Kyoungdoug Min
IEEE Access 11 72462 (2023)
https://doi.org/10.1109/ACCESS.2023.3294976

Prediction of Leakage Pressure in Fractured Carbonate Reservoirs Based on PSO-LSTM Neural Network

Xuemei Xu, Xiaopeng Zhai, Aoxiang Ke, Yang Lin, Xueling Zhang, Zelong Xie and Yishan Lou
Processes 11 (7) 2222 (2023)
https://doi.org/10.3390/pr11072222

Prediction of cold start emissions for hybrid electric vehicles based on genetic algorithms and neural networks

Dong Tang, Zhen Zhang, Lun Hua, Jinchong Pan and Yang Xiao
Journal of Cleaner Production 420 138403 (2023)
https://doi.org/10.1016/j.jclepro.2023.138403

An Advanced Long Short-Term Memory (LSTM) Neural Network Method for Predicting Rate of Penetration (ROP)

Hui Ji, Yishan Lou, Shuting Cheng, Zelong Xie and Liang Zhu
ACS Omega 8 (1) 934 (2023)
https://doi.org/10.1021/acsomega.2c06308

Designing a steady-state experimental dataset for predicting transient NOx emissions of diesel engines via deep learning

Seunghyup Shin, Youngbok Lee, Yongjoo Lee, et al.
Expert Systems with Applications 198 116919 (2022)
https://doi.org/10.1016/j.eswa.2022.116919

Experimental Investigation and Prediction of Performance, Combustion, and Emission Features of a Diesel Engine Fuelled with Pumpkin-Maize Biodiesel using Different Machine Learning Algorithms

N. Magesh, T. Pushparaj, V. Vinoth Kannan, et al.
Mathematical Problems in Engineering 2022 1 (2022)
https://doi.org/10.1155/2022/9505424

Arravind Jeyamoorthy, Takuma Degawa, Ratnak Sok, Toshikado Akimichi, Shigeaki Kurita, Masatoshi Ogawa, Takayuki Takei, Ikuta Hayashi, Jin Kusaka, Beini Zhou, Kyohei Yamaguchi and Iku Tanabe
1 (2022)
https://doi.org/10.4271/2022-01-1064