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pro vyhledávání: '"Mario Dib"'
Autor:
Mario Dib, Bernardete Ribeiro, José Valdemar Fernandes, Marta Oliveira, Pedro Prates, N. J. Oliveira, Amândio Marques
Publikováno v:
Neural Computing and Applications. 32:12335-12349
This paper presents an approach, based on machine learning techniques, to predict the occurrence of defects in sheet metal forming processes, exposed to sources of scatter in the material properties and process parameters. An empirical analysis of pe
Publikováno v:
Smart and Sustainable Manufacturing Systems. 5:20200029
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783319982038
EANN
EANN
Predicting defects is a challenge in many processing steps during manufacturing because there is a great number of variables involved in the process. In this paper, we take a machine learning perspective to choose the best model for defects predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7637b9dffb76fc6522c1dce6c341d340
https://doi.org/10.1007/978-3-319-98204-5_14
https://doi.org/10.1007/978-3-319-98204-5_14
Autor:
Andréia Vieira, Raymundo Ferreira, Mario Dib, Davi Viana, Cleidson R. B. de Souza, Tayana Conte, Reinaldo Cabral
Publikováno v:
Anais do XIII Simpósio Brasileiro de Qualidade de Software (SBQS 2014).
Melhorias de Processo de Software (MPS) precisam englobar toda a organização para garantir que as evoluções dos processos sejam adotadas. Contudo, é necessário analisar como os conhecimentos sobre essas evoluções são compartilhados, a fim de
Publikováno v:
CHASE@ICSE
Software activities are executed by people and demand great knowledge. For this reason, knowledge dissemination activities are important in software organizations. One of the ways of sharing knowledge is through the practice of lessons learned dissem