Advancing Energy-Efficient IoT Management in Human-in-the-Loop and Intelligent Systems

Resume

This work is cataloged in the Scientific Portal. Referenced as: "Sinche, S.; Acán, J.; Fernandes, J.; Raposo, D.; Rodrigues, A.; Boavida, F.; Silva, J.S.".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.1109/COLCOM62950.2024.10720264

Bibliographic & Editorial Details

Official Identifiers

DOI: 10.1109/COLCOM62950.2024.10720264

Autores & Descoberta de Ciência ID

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

Autor(es) da Instituição

A

André Miguel de Almeida Marrão Rodrigues Investigador

Ciência ID: 901B-2039-470F

View Profile

Coautores da Obra

Autores discriminados na citação da publicação:

Sinche, S.; Acán, J.; Fernandes, J.; Raposo, D.; Rodrigues, A.; Boavida, F.; Silva, J.S.

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

Advancing Energy-Efficient IoT Management in Human-in-the-Loop and Intelligent Systems 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Advancing Energy-Efficient IoT Management in Human-in-the-Loop and Intelligent Systems 🔓

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

Export Bibliographic Citation