Biodiesel has the potential to significantly contribute to making transportation fuels more sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …
Abstract Machine Learning is quickly becoming an impending game changer for transforming big data thrust from the bioprocessing industry into actionable output. However …
MEM Soudagar, MA Mujtaba, MR Safaei, A Afzal… - Energy, 2021 - Elsevier
The current study aims to evaluate the performance and emission characteristics of a modified common rail direct injection (CRDI) diesel engine fueled by Ricinus communis …
Z Wang, X Peng, A Xia, AA Shah, Y Huang, X Zhu… - Bioresource …, 2022 - Elsevier
The development and application of bioenergy and biofuels conversion technology can play a significant role for the production of renewable and sustainable energy sources in the …
Enzyme-catalyzed transesterification to produce biodiesel is a time-consuming reaction. This study aimed to use a recoverable nanomagnetic immobilized enzyme and microreactor …
This study aims to investigate a CI diesel engine characteristic of diesel-biodiesel blend with oxygenated alcohols and nanoparticle fuel additives. Biodiesel was synthesized from a …
The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring mathematical algorithm that accurately simulates many engineering processes. Machine …
This study deals with an experimental investigation to assess the characteristics of a modified common rail direct injection (CRDI) engine utilizing diesel, Mahua biodiesel, and …