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Using Embedded Machine Learning Systems
Published by
Our Knowledge Publishing Jul 2026, 2026
ISBN 10: 6630238893
ISBN 13: 9786630238891
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. Seller Inventory # 9786630238891
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Using Embedded Machine Learning Systems : in oncology and cutting-edge technologies
Published by
Our Knowledge Publishing, 2026
ISBN 10: 6630238893
ISBN 13: 9786630238891
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786630238891
Stock Image
Using Embedded Machine Learning Systems
Published by
Our Knowledge Publishing Jul 2026, 2026
ISBN 10: 6630238893
ISBN 13: 9786630238891
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786630238891