CROSS-DISCIPLINARY EXPERIENCES WITH EVOLI SYSTEM IN PORTUGAL

Abstract

Esta obra encontra-se catalogada no Portal Científico. Referenciada como: "Anabela Mesquita; Paulino Silva; Luciana Oliveira; Arminda Sequeira; Adriana Oliveira".

O resumo completo e texto integral podem ser consultados diretamente no DOI oficial: https://doi.org/10.21125/iceri.2020.1848

Detalhes Bibliográficos e Editoriais

Identificadores Oficiais

DOI: 10.21125/iceri.2020.1848

Descoberta de Coautores & Ciência ID

Autores discriminados na citação da obra:

Anabela Mesquita; Paulino Silva; Luciana Oliveira; Arminda Sequeira; Adriana Oliveira

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

Generate report

CROSS-DISCIPLINARY EXPERIENCES WITH EVOLI SYSTEM IN PORTUGAL 🔓

Abstract

Detalhes Bibliográficos e Editoriais

Identificadores Oficiais

Descoberta de Coautores & Ciência ID

Exportar Citação Bibliográfica

Track outputs, projects, and reports in one place.

Login

Register

Ciência Vitae

Recuperar Palavra-passe

CROSS-DISCIPLINARY EXPERIENCES WITH EVOLI SYSTEM IN PORTUGAL 🔓

Abstract

Detalhes Bibliográficos e Editoriais

Identificadores Oficiais

Descoberta de Coautores & Ciência ID

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

Exportar Citação Bibliográfica