Isbn: 9780837705613 - A Practical Guide to Legal Writing and Legal Method (11 results)

Paperback. Condition: Good. 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 production Includes larger alcohols, ethers, levulinates, GTL fuels, and furans production using machine learning approach Discusses how machine learning and biomass-based biofuel production can be integrated Reviews sustainability and cost analysis of artificial intelligence-based biofuel production Explores prediction of the potentiality of lignocellulosic biomass for biofuel applications This book is aimed at researchers and graduate students in energy and fuels, chemical engineering, and machine learning.…

paperback. Condition: Fair.

Paperback. Condition: Fair. Subsequent. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Paperback. Condition: Good. 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 production Includes larger alcohols, ethers, levulinates, GTL fuels, and furans production using machine learning approach Discusses how machine learning and biomass-based biofuel production can be integrated Reviews sustainability and cost analysis of artificial intelligence-based biofuel production Explores prediction of the potentiality of lignocellulosic biomass for biofuel applications This book is aimed at researchers and graduate students in energy and fuels, chemical engineering, and machine learning.…

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condition: Good. 2nd. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. 2nd. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Soft cover. Condition: Very Good. 2nd Edition.

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