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Añadir al carritoTaschenbuch. Condición: Neu. Intelligent Human Computer Interaction | 17th International Conference, IHCI 2025, Jaipur, India, November 14-16, 2025, Revised Selected Papers, Part II | Anshuman Shastri (u. a.) | Taschenbuch | xxiii | Englisch | 2026 | Springer | EAN 9783032263513 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Intelligent Human Computer Interaction | 17th International Conference, IHCI 2025, Jaipur, India, November 14-16, 2025, Revised Selected Papers, Part I | Anshuman Shastri (u. a.) | Taschenbuch | xxiii | Englisch | 2026 | Springer | EAN 9783032263483 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoHardcover. Condición: Brand New. 416 pages. 9.18x6.12x9.45 inches. In Stock.
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Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1032916354 ISBN 13: 9781032916354
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Añadir al carritoHardcover. Condición: 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.
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Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1032916354 ISBN 13: 9781032916354
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Añadir al carritoHardcover. Condición: 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.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Arindam Kuila is currently working as 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, Banga.
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Añadir al carritoBuch. Condición: Neu. Artificial Intelligence for Biomass-based Biofuel Production | Current Status and Prospects | Arindam Kuila (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032916354 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1032916354 ISBN 13: 9781032916354
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoHardcover. Condición: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.