Rogério Dionísio

Dionisio, R. (2022). Bragg Grating Tuning Techniques for Interferometry Applications. In M. Bhowmick (Ed.), Optical Interferometry. DOI: 10.5772/intechopen.106735

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.

Francisco, M., Ribeiro, F., Metrôlho, J., Dionísio, R. (2023). Algorithms and Models for Automatic Detection and Classification of Diseases and Pests in Agricultural Crops: A Systematic Review. Applied Sciences, 13(8), 4720. https://doi.org/10.3390/app13084720

Amini, M. M., Devin, M. G. F., Alves, P., Sheikholeslami, D. F., Hariri, F., Dionísio, R., Faghihi, M., et al. (2023). A Novel Elastic Sensor Sheet for Pressure Injury Monitoring: Design, Integration, and Performance Analysis. Electronics, 12(17), 3655. https://doi.org/10.3390/electronics12173655

Fonseca, L., Ribeiro, F., Metrôlho, J., Santos, A., Dionisio, R., Amini, M. M., Silva, A. F., et al. (2023). PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset. Data, 8(7), 120. https://doi.org/10.3390/data8070120

Vuckovic, T., Stefanovic, D., Lalic, D. C., Dionisio, R., Oliveira, Â., Przulj, D. (2023). The Extended Information Systems Success Measurement Model: e-Learning Perspective. Applied Sciences, 13(5), 3258. https://doi.org/10.3390/app13053258

Dionísio, R., Ribeiro, F., Metrôlho, J. (2022). Radio Interference of Wireless Networks and the Impact of AR/VR Applications in Industrial Environments. Electronics, 12(1), 67. https://doi.org/10.3390/electronics12010067

Silva, A., Metrôlho, J. C., Ribeiro, F., Fidalgo, F., Santos, O., Dionisio, R. (2022). A Review of Intelligent Sensor-Based Systems for Pressure Ulcer Prevention. Computers, 11(1), 6. https://doi.org/10.3390/computers11010006

Lolic, T., Stefanovic, D., Dionisio, R., Marjanovic, U., Havzi, S. (2021). Assessing engineering students’ acceptance of an e-learning system: A longitudinal study. International Journal of Engineering Education, 37(3), 785-796.

Dionisio, R., Torres, P., Ramalho, A., Ferreira, R. (2021). Magnetoresistive Sensors and Piezoresistive Accelerometers for Vibration Measurements: A Comparative Study. Journal of Sensor and Actuator Networks, 10(1), 22. https://doi.org/10.3390/jsan10010022

Spencer, G., Mateus, F., Torres, P., Dionísio, R., Martins, R. (2021). Design of CAN Bus Communication Interfaces for Forestry Machines. Computers, 10(11), 144. https://doi.org/10.3390/computers10110144

Ribeiro, F., Fidalgo, F., Silva, A., Metrôlho, J. C., Santos, O., Dionisio, R. (2021). Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities. Informatics, 8(4), 76. https://doi.org/10.3390/informatics8040076

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

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