Alessandro parente (55 risultati)
Lingua: Inglese
Editore: Springer 2023-01, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 23,22
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Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 27,63
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Condizione: New. In.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 43,20
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Paperback. Condizione: 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, ha…ve 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.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 66,26
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer 2023-01, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 50,87
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PF. Condizione: New.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 54,53
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Condizione: New. In English.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 66,95
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Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 70,09
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Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
- Prima edizione
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 72,49
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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…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 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.
- Brossura
Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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EUR 40,85
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Paperback. Condizione: New.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 40,87
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Paperback. Condizione: New.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 64,44
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Condizione: New.
Da: libreriauniversitaria.it, Occhiobello, RO, Italialibreriauniversitaria.it
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EUR 14,15
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Condizione: NEW.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 78,66
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Condizione: New.
Machine Learning and Its Application to Reacting Flows: Ml and Combustion
Swaminathan, Nedunchezhian (Editor)/ Parente, Alessandro (Editor)
Lingua: Inglese
Editore: Springer Nature, 2022
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 74,32
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Paperback. Condizione: Brand New. 357 pages. 9.25x6.10x0.75 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 79,87
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Condizione: New.
Lingua: Inglese
Editore: SPRINGER NP, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
- Edizione Internazionale
Da: UK BOOKS STORE, London, LONDO, Regno UnitoUK BOOKS STORE
Contatta il venditoreVenditore con 5 stelleEdizione InternazionaleCondizione: Nuovo
EUR 86,71
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Condizione: 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 t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Editore: Our Lady of Grace Capuchin Friary, 2004
- Brossura
Da: Squeaky Trees Books, Greenfield TWP, ME, U.S.A.Squeaky Trees Books
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 49,75
EUR 4,83 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Good+. Light wear to wraps with light rubbing light creasing; No creasing to spine, very clean, no markings g+; 366 pages.
Lingua: Inglese
Editore: SPRINGER NP, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
- Edizione Internazionale
Da: UK BOOKS STORE, London, LONDO, Regno UnitoUK BOOKS STORE
Contatta il venditoreVenditore con 5 stelleEdizione InternazionaleCondizione: Nuovo
EUR 100,89
EUR 3,47 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: 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 t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 28,10
EUR 75,34 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: 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, ha…ve 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.
Machine Learning and Its Application to Reacting Flows: ML and Combustion
Swaminathan, Nedunchezhian (Edited by)/ Parente, Alessandro (Edited by)
Lingua: Inglese
Editore: Springer, 2022
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 90,87
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Hardcover. Condizione: Brand New. 357 pages. 9.25x6.10x0.94 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 49,09
EUR 62,73 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 tw…o 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.
Altre immaginiLingua: Inglese
Editore: Springer International Publishing, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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EUR 41,35
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Machine Learning and Its Application to Reacting Flows | ML and Combustion | Alessandro Parente (u. a.) | Taschenbuch | xi | Englisch | 2023 | Springer International Publishing | EAN 9783031162503 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 59,97
EUR 63,86 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: 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 field…s, 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.
- Brossura
Da: Solibri, Epone, FranciaSolibri
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EUR 17,68
EUR 56,50 spedizioneSpedito da Francia a U.S.A.Quantità: 1 disponibili
Condizione: 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.
Da: Brook Bookstore, Milano, MI, ItaliaBrook Bookstore
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EUR 13,41
EUR 27,99 spedizioneSpedito da Italia a U.S.A.Quantità: 10 disponibili
Condizione: new.
Lingua: Inglese
Editore: Springer, 2023
Serie: Lecture Notes in Energy, Libro 79 di 81. Libro 79 di 81 - Lecture Notes in Energy
- Brossura
Da: Buchpark, Trebbin, GermaniaBuchpark
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EUR 33,63
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Condizione: 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 tu…rbulent 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.
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 196,83
EUR 7,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New.
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 207,58
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Condizione: New.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 213,36
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 3 disponibili
Condizione: New.
