Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults

Ponciano, V., Pires, I. M., Ribeiro, F. R., Villasana, M. V., Crisóstomo, R., Teixeira, M. C., Zdravevski, E. (2020). Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. Sensors, 20(12), 3481. https://doi.org/10.3390/s20123481

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Machine Learning Techniques with ECG and EEG Data: An Exploratory Study

Ponciano, V., Pires, I. M., Ribeiro, F. R., Garcia, N, M., Villasana, M. V., Zdravevski, E., Lameski, P. (2020). Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. Computers, 9(3), 55. https://doi.org/10.3390/computers9030055

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Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test

Ponciano, V., Pires, I. M., Ribeiro, F. R., Villasana, M. V., Teixeira, M. C., Zdravevski, E. (2020). Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. Computers, 9(3), 67. https://doi.org/10.3390/computers9030067

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Automatic Quantification and Classification of Breast Density in 2D Ultrasound Images

Oliveira, Â., Pereira, M., Moutinho, J., Freire, M. (2019). Automatic Quantification and Classification of Breast Density in 2D Ultrasound Images. In T. Ozseven (Ed.), Theoretical Investigations and Applied Studies in Engineering (pp. 395-426). Turkey: Ekin Publishing House. Retrieved from https://www.researchgate.net/publication/332333284_Theoretical_Investigations_and_Applied_Studies_in_Engineering

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Smart gateways for IOT-Factory integration: trends and use case

Rubio, E. M., Torres, P. M., Dionísio, R. P. (2019). Smart gateways for IOT-Factory integration: trends and use case. In Ferreira, L., et al., (Ed.), Technological developments in industry 4.0 for business applications (pp. 149-170). Hershey, PA: IGI Global. ISBN 9781522549369.

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Automatic Quantification and Classification of Breast Density in 2D Ultrasound Images

Oliveira, Â., Pereira, M., Moutinho, J., Freire, M. (2019). Automatic Quantification and Classification of Breast Density in 2D Ultrasound Images. In T. Ozseven (Ed.), Theoretical Investigations and Applied Studies in Engineering (pp. 395-426). Turkey: Ekin Publishing House. Retrieved from https://www.researchgate.net/publication/332333284_Theoretical_Investigations_and_Applied_Studies_in_Engineering

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Predictive maintenance of induction motors in the context of industry 4.0

Rubio, E. M., Dionísio, R. P., Torres, P. M. B. (2018). Predictive maintenance of induction motors in the context of industry 4.0. International Journal of Mechatronics and Applied Mechanics, 4, 238-242. Retrieved from https://ijomam.com/wp-content/uploads/2018/11/pag.-238-242_PREDICTIVE-MAINTENANCE-OF-INDUCTION-MOTORS-IN-THE-CONTEXT-OF-INDUSTRY-4.0.pdf

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Mobile applications for accessible tourism: overview, challenges and a proposed platform

Ribeiro, F. R., Silva, A., Barbosa, F., Silva, A. P., Metrôlho, J. C. (2018). Mobile applications for accessible tourism: overview, challenges and a proposed platform. Information Technology and Tourism, 19(1-4), 29-59.

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A new framework for accessible tourism mobile application development

Ribeiro, F. R., Silva, A., Metrôlho, J. C., Silva, A. P., Barbosa, F. S. (2018). A new framework for accessible tourism mobile application development. International Journal of Mobile Computing and Multimedia Communications, 9(2), 31-46. DOI: 10.4018/IJMCMC.2018040103

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