Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities

Resume

This work is cataloged in the Scientific Portal. Officially published in 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2024) (2024). Referenced as: "Carvalho, M.; Borges, A.; Gavina, A.; Duarte, L.; Leite, J.; Polidoro, M.; Aleixo, S.; Dias, S.".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.5220/0012992800003838

Bibliographic & Editorial Details

Venue / Journal / Book 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2024)

Publisher SCITEPRESS - Science and Technology Publications

Pagination Pages 867 - 880

Publication Venue / Conference Porto, Portugal

Official Identifiers

DOI: 10.5220/0012992800003838

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

J

Joana Jorge de Queiroz Leite Investigador

Ciência ID: 051E-6AE4-EFE3

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Coautores da Obra

Autores discriminados na citação da publicação:

Carvalho, M.; Borges, A.; Gavina, A.; Duarte, L.; Leite, J.; Polidoro, M.; Aleixo, S.; Dias, S.

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

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Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Other Related Publications

AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

SiSchool: A QR-Based Mobile Device Control System for Educational Environments

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

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