A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process

AuthID
 P-010-5WT
4
Author(s)
Oliveira, MA
·
6
Editor(es)
Nicosia,G;Ojha,V;LaMalfa,E;LaMalfa,G;Pardalos,PM;Umeton,R
Tipo de Documento
Proceedings Paper
Year published
2024
Publicado
in MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2023, PT I in Lecture Notes in Computer Science, ISSN: 0302-9743
Volume: 14505, Páginas: 288-302 (15)
Conference
9Th Annual Conference on Machine Learning, Optimization and Data Science (Lod), Date: SEP 22-26, 2023, Location: Grasmere, ENGLAND
Indexing
Wos®
Scopus®
Crossref®1
Unpaywall®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85187720959
Unpaywall: 10.1007/978-3-031-53969-5_22
Wos: WOS:001217088300022
Source Identifiers
ISSN: 0302-9743
Export Publication Metadata
Lista Marked
 Adicionar à lista Marked
Citações
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

CORE Conference
No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

Info
At this moment we don't have any links to full text documens.

Um espaço para investigadores e suas Instituições

Links Úteis

Ajuda

© 2026 CRACS & Inesc TEC - All Rights Reserved Política de Privacidade | Terms of Service