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[HTML][HTML] Soft computing approaches for photovoltaic water pum** systems: a review
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 …
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 …
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
Heat transfer regulation between engine components has a direct impact on engine
efficiency and performance. Improving engine system efficiency, reducing emissions, and …
efficiency and performance. Improving engine system efficiency, reducing emissions, and …
[HTML][HTML] Innovative torque-based control strategy for hydrogen internal combustion engine
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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
In response to increasingly stringent emissions regulations and the depletion of
conventional fuel sources, integrating carbon-free fuels into the transport sector has become …
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 …
industrial sectors, providing primary power for vehicles, ships, and machines globally …