José Morgado

According to our database, José Morgado authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CARM Tool: Cache-Aware Roofline Model Automatic Benchmarking and Application Analysis.

José Morgado, Leonel Sousa, Aleksandar Ilic

Proceedings of the IEEE International Symposium on Workload Characterization, 2024

2023

A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics.

Rui Ribeiro, André Luiz Pilastri, Carla Moura, José Morgado, Paulo Cortez

Neural Comput. Appl., August, 2023

2022

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review.

Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Diogo Luís Marques, José Francisco Morgado, Carlos Albuquerque, Eftim Zdravevski

Sensors, 2022

2021

Mobile 5P-Medicine Approach for Cardiovascular Patients.

Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Petre Lameski, Ivan Chorbev, Eftim Zdravevski, Vladimir Trajkovik, José Morgado, Nuno M. Garcia

Sensors, 2021

Management Technology for Institutional Environment in Pandemic Times.

Maria Eduarda Aragão, Maria Alice Lopes, Gustavo Neves Miranda, José Morgado, Francisco Miguel Morgado, Ivan Miguel Pires

Proceedings of the Smart Objects and Technologies for Social Good, 2021

2020

Approach for the Development of a System for COVID-19 Preliminary Test.

Ticiana Capris, Pedro Melo, Pedro Pereira, José Morgado, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the Science and Technologies for Smart Cities, 2020

Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features.

Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, José Morgado, Paulo Cortez

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Control and Prevention of Personal Stress.

Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020