Revistas
- Weerapanpisit, P., Trilles, S., Huerta, J., & Painho, M. (2022). A Decentralised Location-Based Reputation Management System in the IoT using Blockchain. IEEE Internet of Things Journal.
- Hammad, S. S., Iskandaryan, D., & Trilles, S. (2023). An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment. Internet of Things, 23, 100848.
- Trilles, S., Hammad, S. S., & Iskandaryan, D. (2023). Anomaly Detection based on TinyML using Microcontroller Units: A Systematic Literature Mapping. Internet of Things (under review)
- Iskandaryan, D., Ramos, F., & Trilles, S. (2023). A set of deep learning algorithms for air quality prediction applications. Software Impacts, 17, 100562.
- Iskandaryan, D., Ramos, F., & Trilles, S. (2023). Reconstructing secondary data based on air quality, meteorological and traffic data considering spatiotemporal components. Data in Brief, 47, 108957.
Conferencias
- Weerapanpisit, P., Trilles, S., Huerta, J., & Painho, M. (2021, August). Enabling Geospatial Context in an IoT Decentralised Reputation Management System using Ethereum Smart Contracts. In 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS) (pp. 1-6). IEEE.
Otros
- Ponlawat Weerapanpisit “Decentralised Location-Based Device and Reputation Management System in IoT using Blockchain” (Master Thesis)
- Ditsuhi Iskandaryan “Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components” (PhD Thesis)