Výsledky vyhledávání - "Knoblauch, Ricardo"

Report

Efficient Milling Quality Prediction with Explainable Machine Learning

Autor: Gross, Dennis, Spieker, Helge, Gotlieb, Arnaud, Knoblauch, Ricardo, Elmansori, Mohamed

This paper presents an explainable machine learning (ML) approach for predicting surface roughness in milling. Utilizing a dataset from milling aluminum alloy 2017A, the study employs random forest regression models and feature importance techniques.

Externí odkaz: http://arxiv.org/abs/2409.10203

Zobrazit plný text záznamu

Report

Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods

Autor: Gross, Dennis, Spieker, Helge, Gotlieb, Arnaud, Knoblauch, Ricardo

This research presents a method that utilizes explainability techniques to amplify the performance of machine learning (ML) models in forecasting the quality of milling processes, as demonstrated in this paper through a manufacturing use case. The me

Externí odkaz: http://arxiv.org/abs/2403.18731

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Dissertation/ Thesis

Estudo do controle do ruído de sistemas hidráulicos de aeronaves usando filtros acústicos

Autor: Knoblauch, Ricardo

Publikováno v: Repositório Institucional da UFSCUniversidade Federal de Santa CatarinaUFSC.

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Mecânica.
Made available in DSpace on 2012-10-26T12:12:12Z (GMT). No. of bitstreams: 1 302564.pdf: 7991962 bytes,

Externí odkaz: http://repositorio.ufsc.br/xmlui/handle/123456789/96450