Isbn: 9786630238891 - using embedded machine learning systems: in oncology and cutting-edge technologies (3 risultati)

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 70,86
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the authors demonstrate the use of embedded machine learning systems in oncology, developed based on the machine learning models 'Spectrum,' 'Mitsinsky Commander,' and 'Medical Commander Prediction,' which have made it possible to perform automated, real-time tumor diagnosis in cancer patients, as well as to predict, in real time, any medical symptoms or combinations thereof. The authors present embedded machine learning systems based on the 'Vibroturbulence' model, which have enabled the production of promising foam materials, promising composite materials, carbon nanocomposite materials, as well as promising ceramics and bioceramics. This embedded machine learning system, based on the 'Vibroturbulence' model, is also designed to prevent the degradation of biodiesel fuel during storage and transportation.…

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, the authors demonstrate the use of embedded machine learning systems in oncology, developed based on the machine learning models 'Spectrum,' 'Mitsinsky Commander,' and 'Medical Commander Prediction,' which have made it possible to perform automated, real-time tumor diagnosis in cancer patients, as well as to predict, in real time, any medical symptoms or combinations thereof. The authors present embedded machine learning systems based on the 'Vibroturbulence' model, which have enabled the production of promising foam materials, promising composite materials, carbon nanocomposite materials, as well as promising ceramics and bioceramics. This embedded machine learning system, based on the 'Vibroturbulence' model, is also designed to prevent the degradation of biodiesel fuel during storage and transportation. 68 pp. Englisch.…