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Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes

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In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of observations,...

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Detaylı Bibliyografya
Yazar:	Botticelli, Massimiliano (auth)
Materyal Türü:	Elektronik Kitap Bölümü
Dil:	İngilizce
Baskı/Yayın Bilgisi:	KIT Scientific Publishing 2023
Seri Bilgileri:	Reihe Informationsmanagement im Engineering Karlsruhe
Konular:	Mechanical engineering & materials Gasoline Direct Injection; Data-Driven Development; Machine Learning Application; Datengetriebene Entwicklung; Anwendung des Maschinellen Lernens; Knowledge Discovery; Benzin-Direkteinspritzung
Online Erişim:	DOAB: download the publication DOAB: description of the publication
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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