Forecasting liquefied petroleum gas cylinders needs in a fast-growing business.

Resume

This work is cataloged in the Scientific Portal. Officially published in XXIV Congresso da Sociedade Portuguesa de Estatística (2019). Referenced as: "Eliana Costa e Silva; Cristina Lopes; Aldina Correia; Magda Monteiro; Rui Borges Lopes".

Bibliographic & Editorial Details

Venue / Journal / Book XXIV Congresso da Sociedade Portuguesa de Estatística

Publisher Sociedade Portuguesa de Estatística

Pagination Pages 135 - 136

Publication Venue / Conference Amarante, Portugal

Role Coauthor

Autores & Descoberta de Ciência ID

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

Autor(es) da Instituição

I

Isabel Cristina da Silva Lopes Investigador

Ciência ID: BC14-DF88-AEBC

View Profile

Coautores da Obra

Autores discriminados na citação da publicação:

Eliana Costa e Silva; Cristina Lopes; Aldina Correia; Magda Monteiro; Rui Borges Lopes

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

Other Related Publications

Conference paper • 2026

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

Conference paper • 2026

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

Conference paper • 2026

Forecasting liquefied petroleum gas cylinders needs in a fast-growing business.

Resume

Bibliographic & Editorial Details

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

Export Bibliographic Citation