Martínez Mosquera Silvia Diana
Departamento de Informática y Ciencias de la Computación
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Oficina: DICC-01
Ext: 4715
iD orcid.org/0000-0002-0573-8640
Estudios
  1. Ingeniera en Electrónica y Redes de Información en la Escuela Politécnica Nacional
  2. Magíster en Gerencia de Redes y Telecomunicaciones en la Universidad de las Fuerzas Armadas (ESPE)
  3. Doctorado en Informática, Universidad de Alicante, España
Líneas de investigación
  1. DICC-A2-L1 Computación Aplicada a las Comunicaciones y Seguridades
  2. DICC-A4-L1 Computación Aplicada a los Sistemas de Información
  3. DICC-A4-L3 Sistemas de Información
Publicaciones
  1. Martínez-Mosquera, D., Recalde Lorena, & Tipantuña, C. (2023). Building Cognitive Cities in Developing Countries: Ecuador Case Study. 2023 Ninth International Conference on eDemocracy & eGovernment (ICEDEG), (págs. 1-6). Quito, Ecuador. doi:10.1109/ICEDEG58167.2023.10121914.
  2. Guerrero-Andrade, C. J. & Martinez-Mosquera, D. (2022). Reconocimiento de lesiones necróticas para la detección de la plaga thrips en el guisante mediante el uso del modelo deep learning yolov4 tiny. Latin American Journal of Computing, 9(1), 46-59. https://doi.org/10.5281/zenodo.5816314
  3. Martinez-Mosquera, D., Navarrete, R., & Luján-Mora, S. (2021). Efficient processing of complex XSD using Hive and Spark. PeerJ Computer Science, 7, e652. https://doi.org/10.7717/peerj-cs.652
  4. Ramírez, S., Martínez, D., & Zambrano, V. M. (2021). Study of the Fronthaul WDM Applied to the Cloud RAN of 5G-CRAN. Advances in Intelligent Systems and Computing, 1273 AISC, 281-294. https://doi.org/10.1007/978-3-030-59194-6_24
  5. Navarrete, R., & Martinez-Mosquera, D. (2020). Overcoming barriers for OER adoption in higher education application to computer science curricula. CSEDU 2020 - Proceedings of the 12th International Conference on Computer Supported Education, 1, 559 - 566. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091410737&partnerID=40&md5=fccc5ceeff3b05e6cca8d8b3b1d2bdeb
  6. Martinez-Mosquera, D., Navarrete, R., & Lujan-Mora, S. (2020). Development and Evaluation of a Big Data Framework for Performance Management in Mobile Networks. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3045175
  7. Martinez-Mosquera, D., Navarrete, R., & Lujan-Mora, S. (2020). Modeling and management big data in databases-A systematic literature review. Sustainability 12(2). https://doi.org/10.3390/su12020634
  8. Sanchez, C., Martinez-Mosquera, D., & Navarrete, R. (2019). Matlab simulation of algorithms for face detection in video surveillance. In Proceedings International Conference on Information Systems and Software Technologies, ICI2ST 2019, 40 - 47. https://doi.org/10.1109/ICI2ST.2019.00013
  9. Martinez-Mosquera, D., Luján-Mora, S., Navarrete, R., Mayorga, T. C., & Vivanco Herrera, H. R. (2019). An approach to big data modeling for key-value NoSQL databases. Revista Ibérica de Sistemas e Tecnologias de Informação e19, 519-530.
  10. Martinez-Mosquera, D., & Luján-Mora, S. (2019). Framework for Big Data integration in e-government. Dyna, 86(209), 215-224. https://doi.org/10.15446/dyna.v86n209.77902
  11. Martinez-Mosquera, D., Luján-Mora, S., Montoya L, L. H., & Paredes Calderón, M. (2019). Pillars for big data and military health care: State of the art. In Proceedings of Advances in Emerging Trends and Technologies, 1, 125-135. https://doi.org/10.1007/978-3-030-32022-5_12
  12. Marjury, D. H., Karen, B. C., Diana, M.-M., & Gabriel, L. F. (2017). Offline mobile application for places identification with augmented reality. In 4th International Conference on EDemocracy and EGovernment, ICEDEG, 261–264. https://doi.org/10.1109/ICEDEG.2017.7962546
  13. Martínez-Mosquera, D., & Luján-Mora, S. (2017). Data cleaning technique for security big data ecosystem. IoTBDS. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, 380–385. https://doi.org/10.5220/0006360603800385
  14. Martinez-Mosquera, D., Luján-Mora, S., & Recalde, H. (2017). Conceptual modeling of big data extract processes with UML. In International Conference on Information Systems and Computer Science (INCISCOS), 207-211. IEEE. https://doi.org/10.1109/INCISCOS.2017.18
  15. Martinez-Mosquera, D., Luján-Mora, S., López, G., Santos, L. (2017). Data Cleaning Technique for Security Logs Based on Fellegi-Sunter Theory. In Information Systems: Research, Development, Applications, Education SIGSAND/PLAIS, 300. https://doi.org/10.1007/978-3-319-66996-0_1
  16. Martínez, D., Alulema, D., Martínez, D., Morocho, D., & Encalada, F. (2016, October). Feasibility study for the implementation of a collaborative learning virtual environment training company. In IEEE International Conference on Automatica (ICA-ACCA) (pp. 1-6). https://doi.org/10.1109/ICA-ACCA.2016.7778440

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