2022
DOI: 10.1016/j.csite.2022.101817
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Grasshopper optimization algorithm for diesel engine fuelled with ethanol-biodiesel-diesel blends

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Cited by 67 publications
(18 citation statements)
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“…The present study examines the most recent research on the use of machine learning methods in nanofluid heat transfer. Over the past decade, there has been a surge in research papers on the use of machine learning methods. In the past, a variety of machine learning approaches have been employed to model and forecast the properties of nanofluids. ,, With the advent of newer machine learning methods, the ever-increasing computational power is the catalyst for the increasing popularity of machine learning techniques. , As a result, the current study attempts to compile a comprehensive report including the most recent developments in this subject for easy reference. Because these strategies are constantly changing, examining and portraying just the most recent work is critical.…”
Section: Methodsmentioning
confidence: 99%
“…The present study examines the most recent research on the use of machine learning methods in nanofluid heat transfer. Over the past decade, there has been a surge in research papers on the use of machine learning methods. In the past, a variety of machine learning approaches have been employed to model and forecast the properties of nanofluids. ,, With the advent of newer machine learning methods, the ever-increasing computational power is the catalyst for the increasing popularity of machine learning techniques. , As a result, the current study attempts to compile a comprehensive report including the most recent developments in this subject for easy reference. Because these strategies are constantly changing, examining and portraying just the most recent work is critical.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, the refining processes in the biorefineries have been especially supported by energy management and environmental control systems to produce sustainable fuel additives such as DMF and HMF (Hoang et al, 2020). Thus, achievements in the production of alternative fuels from waste sources (such as biomass and waste) and strategies to optimize combustion in internal combustion engines have brought expectations in the development of a green transport system at the port (Wu et al, 2020) (Veza et al, 2022).…”
Section: Typical Energy Management Models Of Typical Smart Portsmentioning
confidence: 99%
“…Response optimization identifies the variables that jointly optimize a response or group of answers. This is helpful for comparing the effects of many factors on a response [27][28][29]. To maximize the effectiveness of response optimization, it should be understood in combination with appropriate subject matter expertise.…”
Section: Parametric Optimization Of Emission and Fuel Consumptionmentioning
confidence: 99%