Almeida, R. I. S., Pinto, A. P. S., Henriques, C. M. R. (2021). The effect of incubation on business performance: A comparative study in the Centro region of Portugal. Review of Business Management, 23(1), 127-140. DOI: 10.7819/rbgn.v23i1.4089
Picas, S., Reis, P., Pinto, A., Abrantes, J. L. (2021). Does tax, financial, and government incentives impact long-term portuguese SMEs’ sustainable company performance? Sustainability, 13(21), 11866. DOI: 10.3390/su132111866
Reis, P., Pinto, A. (2021). Corporate ownership concentration drivers in a context dominated by private SME’s. Heliyon, 7(10), e08163. DOI: 10.1016/j.heliyon.2021.e08163
Corporate ownership concentration drivers in a context dominated by private SME’s Read More »
Dionisio, R., Malhao, S., Torres, P. (2020). Development of a Smart Gateway for a Label Loom Machine using Industrial IoT Technologies. International Journal of Online and Biomedical Engineering (iJOE), 16(04), 6-14. https://doi.org/10.3991/ijoe.v16i04.11853
Ponciano, V., Pires, I. M., Ribeiro, F. R., Garcia, N. M. (2020). Data acquisition of timed-up and go test with older adults: accelerometer, magnetometer, electrocardiography and electroencephalography sensors’ data. Data in Brief, 32, 106306. https://doi.org/10.1016/j.dib.2020.106306
Ponciano, V., Pires, I.M., Ribeiro, F.R. et al. (2020). Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review. Journal of Medical Systems, 44, 199. https://doi.org/10.1007/s10916-020-01666-8
Ponciano, V., Pires, I. M., Ribeiro, F. R., Marques, G., Garcia, N. M., Pombo, N., Spinsante, S., Zdravevski, E. (2020). Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review. Electronics, 9(3), 528. https://doi.org/10.3390/electronics9030528
Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review Read More »
Ponciano, V., Pires, I., Ribeiro, F., Marques, G., Garcia, N. M., Zdravevski, E., Spinsante, S (2020). Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review. Electronics, 9(5), 778. https://doi.org/10.3390/electronics9050778
Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review Read More »
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
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
Machine Learning Techniques with ECG and EEG Data: An Exploratory Study Read More »
