Passing Cloud
The work carried out in this WP targets the research and development of algorithms and applications for the implementation of a framework to identify, predict, monitor and warn on constraints and risks for road traffic.
Team & Collaborators
- Nuno M. Garcia | WP leader
- Nuno Pombo
- Yoann Resende | MSc student, UBI
- Ivan Pires | PostDoc (02/2019-09/2019)
- Abdelatif Hadir | PostDoc (01/2021-02/2022)
Publications
Journal article
- Pires I., Garcia N., Zdravevski E., Lameski P.. (2022). Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data. Scientific Data 9 (1), 1-11.
- Sodhro A., Pirbhulal S., Sodhro G., Muzammal M., Zongwei L., Gurtov A., Macêdo A., Wang L., Garcia N., Albuquerque V.. (2021). Towards 5G-enabled self adaptive green and reliable communication in intelligent transportation system. IEEE Transactions on Intelligent Transportation Systems 22 (8), 5223-5231.
- Hadir A., Regragui Y., Garcia N.. (2021). Accurate Range-Free Localization Algorithms Based on PSO for Wireless Sensor Networks. IEEE Access, 9, 149906.
- Hussain F., Abbas S., Pires I., Tanveer S., Fayyaz U., Garcia N., Shah G., Shahzad F.. (2021). A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks. IEEE Access, 9, 163412.
- Matias I., Garcia N., Pirbhulal S., Felizardo V., Pombo N., Zacarias N., Sousa M., Zdravevski E.. (2021). Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review. Computer Science Review, 39, 100334. (***)
- Pires I., Garcia N., Zdravevski E., Lameski P.. (2021). Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices. Data-In-Brief 2021, 36C, 107051.
- Pires I., Garcia N., Zdravevski E., Lameski P.. (2020). Activities of Daily Living with Motion: A Dataset with Accelerometer, Magnetometer and Gyroscope Data from Mobile Devices. Data-In-Brief 2020, 33C, 106628.
- Pires M., Garcia N.. (2020). Identification of Warning Situations in Road Using Cloud Computing Technologies and Sensors Available in Mobile Devices: A Systematic Review. Electronics9 (3), 416.
(***) Article published in a top 10% most cited journal of the respective field.
MSc thesis
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Yoann Resende, MSc student in Computer Science and Engineering, UBI, dissertation title, Road Event Mapping Method for Mobile Devices with Cloud Computing based Technologies, co-supervised by Dr. Susanna Spinsante, Università Politecnica delle Marche, Ancona, Italy, June 2020.
Patents
Virginie Felizardo, Nuno Garcia, Nuno Pombo, Imen Megdiche, “Método e máquina para predição de eventos de hipoglicemia usando fusão de informação e consenso de modelos preditivos (Method and machine to predict events of hypoglycaemia using information fusion and consense of predictive models),” Portuguese Patent, submitted, 2021.