Manee vidhyadhar (12 resultados)

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 159,19
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 172,18
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 166,59
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 174,39
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Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle
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EUR 174,23
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Condición: New. 1st edition NO-PA16APR2015-KAP.

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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 159,79
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 160,83
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- Primera edición
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 231,35
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Hardback. Condición: New. 1st. Industry 4.0 is revolutionizing chemical manufacturing. Today's chemical companies are swiftly embracing the digital era, recognizing the significant benefits of interconnected products, production equipment, and personnel. As technology advances and production volumes grow, there is an increasing need for new computational tools and innovative solutions to address everyday challenges. AI in Chemical Engineering: Unlocking the Power Within Data introduces readers to the essential concepts of machine learning and their application in the chemical and process industries, aiming to enhance efficiency, adaptability, and profitability. This work delves into the transformation of traditional plant operations into integrated and intelligent systems, providing readers with a foundation for developing and understanding the tools necessary for data collection and analysis, thereby gaining valuable insights and practical applications.Introduces the principles and applications of unsupervised learning and discusses the role of machine learning in extracting information from plant data and transforming it into knowledgeConveys the concepts, principles, and applications of supervised learning, setting the stage for developing advanced monitoring systems, complex predictive models, and advanced computer vision applicationsExplores implementation of reinforced learning ideas for chemical process control and optimization, investigating various model structures and discussing their practical implementation in both simulation and experimental unitsIncorporates sample code examples in Python to illustrate key conceptsIncludes real-life case studies in the context of chemical engineering and covers a wide variety of chemical engineering applications from oil and gas to bioengineering and electrochemistryClearly defines types of problems in chemical engineering subject to AI solutions and relates them to subfields of AIThis practical text, designed for advanced chemical engineering students and industry practitioners, introduces concepts and theories in a logical and sequential manner. It serves as an essential resource, helping readers understand both current and emerging developments in this important and evolving field.…

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 240,51
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Hardcover. Condición: Brand New. 360 pages. 9.18x6.12x9.21 inches. In Stock.

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- Primera edición
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 226,82
Envío por EUR 77,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Hardback. Condición: New. 1st. Industry 4.0 is revolutionizing chemical manufacturing. Today's chemical companies are swiftly embracing the digital era, recognizing the significant benefits of interconnected products, production equipment, and personnel. As technology advances and production volumes grow, there is an increasing need for new computational tools and innovative solutions to address everyday challenges. AI in Chemical Engineering: Unlocking the Power Within Data introduces readers to the essential concepts of machine learning and their application in the chemical and process industries, aiming to enhance efficiency, adaptability, and profitability. This work delves into the transformation of traditional plant operations into integrated and intelligent systems, providing readers with a foundation for developing and understanding the tools necessary for data collection and analysis, thereby gaining valuable insights and practical applications.Introduces the principles and applications of unsupervised learning and discusses the role of machine learning in extracting information from plant data and transforming it into knowledgeConveys the concepts, principles, and applications of supervised learning, setting the stage for developing advanced monitoring systems, complex predictive models, and advanced computer vision applicationsExplores implementation of reinforced learning ideas for chemical process control and optimization, investigating various model structures and discussing their practical implementation in both simulation and experimental unitsIncorporates sample code examples in Python to illustrate key conceptsIncludes real-life case studies in the context of chemical engineering and covers a wide variety of chemical engineering applications from oil and gas to bioengineering and electrochemistryClearly defines types of problems in chemical engineering subject to AI solutions and relates them to subfields of AIThis practical text, designed for advanced chemical engineering students and industry practitioners, introduces concepts and theories in a logical and sequential manner. It serves as an essential resource, helping readers understand both current and emerging developments in this important and evolving field.…

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 182,12
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Condición: New. PRINT ON DEMAND.

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Librería: moluna, Greven, Alemaniamoluna
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EUR 178,40
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jose A. Romagnoli is the Gordon & Mary Cain Endowed Chair Professor of Process Systems Engineering, Department of Chemical Engineering, Louisiana State University. He received his Ph.D. from University of Minnesota.Luis A. Briceno-Me.…