Parente alessandro (56 resultados)
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 50,42
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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2023
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 54,14
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Paperback. Condición: New. 1st ed. 2023. This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, hav…e large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world's total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and "greener" combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 55,27
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Condición: New.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 58,70
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Condición: New.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 48,82
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Condición: New. In.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 65,38
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 65,27
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Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 54,98
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Condición: New. In English.
Idioma: Inglés
Editorial: Springer 2023-01, 2023
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 51,29
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PF. Condición: New.
Idioma: Inglés
Editorial: Springer International Publishing AG, Cham, 2023
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- Primera edición
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 71,27
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Hardcover. Condición: new. Hardcover. This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, have l…arge body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the worlds total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and greener combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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EUR 40,88
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Paperback. Condición: New.
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 40,89
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Paperback. Condición: New.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 63,71
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Condición: New.
Librería: libreriauniversitaria.it, Occhiobello, RO, Italialibreriauniversitaria.it
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EUR 14,15
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Condición: NEW.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 76,66
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Condición: New.
Machine Learning and Its Application to Reacting Flows: Ml and Combustion
Swaminathan, Nedunchezhian (Editor)/ Parente, Alessandro (Editor)
Idioma: Inglés
Editorial: Springer Nature, 2022
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 72,80
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Paperback. Condición: Brand New. 357 pages. 9.25x6.10x0.75 inches. In Stock.
Idioma: Inglés
Editorial: SPRINGER NP, 2023
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
Contactar con el vendedorVendedor de 4 estrellasEdición internacionalCondición: Nuevo
EUR 86,50
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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 79,24
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Condición: New.
Editorial: Our Lady of Grace Capuchin Friary, 2004
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Librería: Squeaky Trees Books, Greenfield TWP, ME, Estados Unidos de AmericaSqueaky Trees Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Aceptable
EUR 48,91
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Añadir al carritoPaperback. Condición: Good+. Light wear to wraps with light rubbing light creasing; No creasing to spine, very clean, no markings g+; 366 pages.
Idioma: Inglés
Editorial: SPRINGER NP, 2023
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
Contactar con el vendedorVendedor de 4 estrellasEdición internacionalCondición: Nuevo
EUR 100,43
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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Machine Learning and Its Application to Reacting Flows: ML and Combustion
Swaminathan, Nedunchezhian (Edited by)/ Parente, Alessandro (Edited by)
Idioma: Inglés
Editorial: Springer, 2022
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 89,03
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Hardcover. Condición: Brand New. 357 pages. 9.25x6.10x0.94 inches. In Stock.
Más imágenesIdioma: Inglés
Editorial: Springer, 2023
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 41,45
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Taschenbuch. Condición: Neu. Machine Learning and Its Application to Reacting Flows | ML and Combustion | Nedunchezhian Swaminathan (u. a.) | Taschenbuch | Lecture Notes in Energy | xi | Englisch | 2023 | Springer | EAN 9783031162503 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg,…juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 49,09
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two… fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world's total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and 'greener' combustion systems that are friendlier to the environment can be designed.The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 59,97
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields…, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world's total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and 'greener' combustion systems that are friendlier to the environment can be designed.The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2023
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 51,87
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Paperback. Condición: New. 1st ed. 2023. This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, hav…e large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world's total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and "greener" combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.
Librería: Brook Bookstore, Milano, MI, ItaliaBrook Bookstore
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EUR 13,41
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Condición: new.
Idioma: Inglés
Editorial: Springer, 2023
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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EUR 33,63
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 360 | Sprache: Englisch | Produktart: Bücher | This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting tur…bulent flows. These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world¿s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and ¿greener¿ combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.
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Librería: Solibri, Epone, FranciaSolibri
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EUR 20,00
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Condición: fine. très bon état. Optez pour nos livres d'occasion en très bon état, et soutenez l'insertion sociale et l'écologie en leur offrant une seconde vie,Sous Blister. 322097-1 - Lille à voir à vivre, Delevoye, Philippe, 2020.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 193,50
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Condición: New.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 204,07
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Condición: New.
