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- Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature ReviewPublication . Brites, Ivo; Martins da Silva, Lidia; Barbosa, Jorge; Rigo, S. J.; Correia, S. D.; LEITHARDT, VALDERI
- A Feed-Forward Neural Network Approach for Energy-Based Acoustic Source LocalizationPublication . Correia, S. D.; Tomic, Slavisa; Beko, Marko
- Learning and Well-Being in Educational Practices with Children and Adolescents Undergoing Cancer TreatmentPublication . Ricardo Dos Santos, Paulo; Barbosa, Débora; Gonçalves De Azevedo Neto, Eduardo; Barbosa, Jorge; Correia, S. D.; Leithardt, Valderi R. Q.
- Application of Machine Learning Techniques to Predict a Patient s No-Show in the Healthcare SectorPublication . Salazar, Luiz Henrique; LEITHARDT, VALDERI; D. Parreira, Wemerson; Fernandes, Anita; Barbosa, Jorge; Correia, S. D.
- Ontology-Based Reasoning for Educational Assistance in Noncommunicable Chronic DiseasesPublication . ANDRESA, VITORIA; Gonçalves De Azevedo Neto, Eduardo; Barbosa, Jorge; Barbosa, Débora; LEITHARDT, VALDERI; Correia, S. D.
- Lossless Compression Scheme for Efficient GNSS Data Transmission on IoT DevicesPublication . Rafael Perez; Correia, S. D.; LEITHARDT, VALDERI; D. Correia, S.Wireless data transmission is one of the most energy-consuming tasks performed on embedded devices, being a crucial feature of battery-powered Internet of Things (IoT) applications. The present work proposes a new methodology to reduce the energy footprint of GNSS-based sensors by decreasing the amount of transmitted data applying a lossless compression strategy. Online trajectory data is structured through a preprocessing stage without information loss and posteriorly compressed through standard lossless algorithms. Simulations are performed considering different trajectory shapes, comparing the proposed schema with traditional compression methods without the proposed pre-processing stage. The results show that the proposed scheme can reach lower compression rates, reducing embedded IoT devices’ energy footprint.
- A Multi-Start Algorithm for Solving the Capacitated Vehicle Routing Problem with Two-Dimensional Loading ConstraintsPublication . Fava, Leandro; Furtado, João; Helfer, Gilson Augusto; Barbosa, Jorge; Beko, Marko; Correia, Sérgio; LEITHARDT, VALDERI