Fernando Reinaldo Ribeiro

Fernando Reinaldo Silva Garcia Ribeiro 0000-0002-1225-38447B1C-D761-291D
INSTITUTO POLITÉCNICO DE CASTELO BRANCO

PRODUÇÃO CIENTÍFICA

Livros & Capítulos de Livro de Edição Internacional

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Livros & Capítulos de Livro de Edição Nacional

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Artigos em Revistas Indexadas | Scopus e/ou WoS

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

Fonseca, L., Ribeiro, F., Metrôlho, J. (2023). Pressure-Based Posture Classification Methods and Algorithms: A Systematic Review. Computers, 12(5), 104. https://doi.org/10.3390/computers12050104

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

Metrôlho, J., Ribeiro, F., Graça, P., Mourato, A., Figueiredo, D., Vilarinho, H. (2022). Aligning Software Engineering Teaching Strategies and Practices with Industrial Needs. Computation, 10(8), 129. https://doi.org/10.3390/computation10080129

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

Fonseca, L., Ribeiro, F., Metrôlho, J. (2022). Lying-People Pressure-Map Datasets: A Systematic Review. Data, 8(1), 12. https://doi.org/10.3390/data8010012

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

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

Ribeiro, F. R., Silva, A., Silva, A. P., Metrôlho, J. (2021). Literature review of location-based mobile games in education: Challenges, impacts and opportunities. Informatics, 8(3), 43. https://doi.org/10.3390/informatics8030043

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

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

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

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

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.

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

Artigos em Revistas

Metrolho, J., Ribeiro, F., Batista, R., Graça, P., Pacheco, D. (2023). Preparing students for the software industry new demands. International Journal on Advances in Software, 16(1-2), 71-81.

Chappara, M., Ribeiro, F., & Metrôlho, J. (2023). Underage citizens monitoring applications – A review of the state of the art and guidelines for future implementations. International Journal of Engineering Science Technologies, 7(4), 1–18. https://doi.org/10.29121/ijoest.v7.i4.2023.524

Metrôlho, J., Ribeiro, F. (2019). Holistic analysis of the effectiveness of a software engineering teaching approach. International Journal on Advances in Software, 12(1-2), 46-55.

PROJETOS
Projetos internos
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