Machine Learning and Its Application to Reacting Flows ML and Combustion /

Machine Learning and Its Application to Reacting Flows, ML and Combustion /

Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Swaminathan, Nedunchezhian (Redattore), Parente, Alessandro (Redattore)
Riassunto:XI, 346 p. 127 illus., 98 illus. in color.
text
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Serie:Lecture Notes in Energy, 44
Soggetti:
Cogeneration of electric power and heat.
Fossil fuels.
Thermodynamics.
Heat engineering.
Heat transfer.
Mass transfer.
Machine learning.
Fossil Fuel.
Engineering Thermodynamics, Heat and Mass Transfer.
Machine Learning.
Accesso online:https://doi.org/10.1007/978-3-031-16248-0
Natura: Elettronico Libro

Accesso online

https://doi.org/10.1007/978-3-031-16248-0

Documenti analoghi