[HTML][HTML] Soft computing approaches for photovoltaic water pum** systems: a review

I Saady, B Majout, MS Adouairi, M Karim… - Cleaner Engineering …, 2024 - Elsevier
Water pum** systems are crucial for extracting water from deep wells. However, electricity
shortages and high fuel prices significantly impact the efficiency and reliability of these …

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

D Tang, Z Zhang, L Hua, J Pan, Y **ao - Journal of Cleaner Production, 2023 - Elsevier
The emission of hybrid electric vehicles deteriorates during cold start, and it is a cost-
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …

[HTML][HTML] Recent development of combined heat transfer performance for engine systems: A comprehensive review

M Abdullah, MZ Abedin - Results in Surfaces and Interfaces, 2024 - Elsevier
Heat transfer regulation between engine components has a direct impact on engine
efficiency and performance. Improving engine system efficiency, reducing emissions, and …

[HTML][HTML] Innovative torque-based control strategy for hydrogen internal combustion engine

PP Brancaleoni, E Corti, V Ravaglioli, D Moro… - International Journal of …, 2024 - Elsevier
Over the past years, several efforts have been made to reduce greenhouse gas emissions
coming from the transport sector. Due to the highly efficient CO2-free combustion and low …

The prediction of spark-ignition engine performance and emissions based on the SVR algorithm

Y Zhang, Q Wang, X Chen, Y Yan, R Yang, Z Liu, J Fu - Processes, 2022 - mdpi.com
Engine development needs to reduce costs and time. As the current main development
methods, 1D simulation has the limitations of low accuracy, and 3D simulation is a long, time …

[HTML][HTML] A neural network approach on forecasting spark duration effect on in-cylinder performance of a large bore compression ignition engine fueled with propane …

C Windarto, O Lim - Fuel Processing Technology, 2024 - Elsevier
In the current study, we examined the impact of spark duration strategy on a large bore
compression ignition engine fueled with propane direct injection. An artificial neural network …

A study to predict ignition delay of an engine using diesel and biodiesel fuel based on the ANN and SVM machine learning methods

NV Tuan, DQ Minh, NX Khoa, O Lim - Acs Omega, 2023 - ACS Publications
Over time, machine learning methods have developed, but there have not been many
studies comparing how well they predict ignition delays. In this study, a model that forecasts …

A supervised machine learning technique for combustion diagnosis using a vibration sensor signal

B Pla, J De la Morena, P Bares, A Aramburu - Fuel, 2023 - Elsevier
Abstract Machine learning (ML) techniques are increasingly spreading in the automotive
area. The advantage of using data-based algorithms is evidenced in the study of complex …

Computational Investigation of the Influence of Combustion Chamber Characteristics on a Heavy-Duty Ammonia Diesel Dual Fuel Engine

Y Sehili, K Loubar, L Tarabet, M Cerdoun, C Lacroix - Energies, 2024 - mdpi.com
In response to increasingly stringent emissions regulations and the depletion of
conventional fuel sources, integrating carbon-free fuels into the transport sector has become …

Comparative analysis of regression models to predict the performance of the dual fuel engine operating on diesel and hydrogen gas

S Priya, C Feenita, U Goel, T Manoranjitham… - International Journal of …, 2024 - Elsevier
Internal combustion engines (ICEs) have long been essential in both the transportation and
industrial sectors, providing primary power for vehicles, ships, and machines globally …