This book covers all current technological, industrial status, and future prospects of biofuel production with the concept of artificial intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass. It discusses the status and future scope of artificial intelligence for the advancement of biofuel research. It summarizes machine learning models in addressing the issues of biofuel supply chains, case studies, scientific challenges, and future directions.
Features:
This book is aimed at researchers and graduate students in energy and fuels, chemical engineering, and machine learning.
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Arindam Kuila is currently working as an Assistant Professor at the Department of Bioscience & Biotechnology, Banasthali Vidyapith, Rajasthan, India. Previously, he worked as a research associate at Hindustan Petroleum Green R&D Centre, Bangalore, India. He did his PhD from Agricultural & Food Engineering Department, Indian Institute of Technology Kharagpur, India in 2013 in the area of lignocellulosic biofuel production. He was awarded Petrotech Research Fellowship in 2008. He has completed one Indo-Brazil collaborative project funded by DBT, India. Presently, he is handling another project on scale-up study of lignocellulosic bioethanol production funded by DST.
Anshuman Shastri is currently working as a Director at Centre for Artificial Intelligence, Banasthali Vidyapith, Rajasthan, India. He has vast experience in the area of artificial intelligence. He did his PhD from Kent University, UK. Along with five additional nominations for major honors, he was awarded the International Young Scientist Award in 2020 and the International Young Researcher Award in 2021.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This book covers all current technological, industrial status, and future prospects of biofuel production with the concept of artificial intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass. It discusses the status and future scope of artificial intelligence for the advancement of biofuel research. It summarizes machine learning models in addressing the issues of biofuel supply chains, case studies, scientific challenges, and future directions. Features:Covers the use of machine learning within the context of the processing of advanced biofuel feedstocks for biofuel productionIncludes larger alcohols, ethers, levulinates, GTL fuels, and furans production using machine learning approachDiscusses how machine learning and biomass-based biofuel production can be integratedReviews sustainability and cost analysis of artificial intelligencebased biofuel productionExplores prediction of the potentiality of lignocellulosic biomass for biofuel applicationsThis book is aimed at researchers and graduate students in energy and fuels, chemical engineering, and machine learning. This book covers all current technological, industrial status and future prospect of biofuel production with the concept of Artificial Intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032916354
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Hardcover. Etat : new. Hardcover. This book covers all current technological, industrial status, and future prospects of biofuel production with the concept of artificial intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass. It discusses the status and future scope of artificial intelligence for the advancement of biofuel research. It summarizes machine learning models in addressing the issues of biofuel supply chains, case studies, scientific challenges, and future directions. Features:Covers the use of machine learning within the context of the processing of advanced biofuel feedstocks for biofuel productionIncludes larger alcohols, ethers, levulinates, GTL fuels, and furans production using machine learning approachDiscusses how machine learning and biomass-based biofuel production can be integratedReviews sustainability and cost analysis of artificial intelligencebased biofuel productionExplores prediction of the potentiality of lignocellulosic biomass for biofuel applicationsThis book is aimed at researchers and graduate students in energy and fuels, chemical engineering, and machine learning. This book covers all current technological, industrial status and future prospect of biofuel production with the concept of Artificial Intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032916354
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