Silvia Panicacci
Orcid: 0000-0003-2628-4382
According to our database1,
Silvia Panicacci
authored at least 10 papers
between 2018 and 2022.
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Bibliography
2022
SatNav E@syCare Telemedicine Platform in the Management of Covid-19 Patients: Field Trial Results.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
2021
An Easily Integrable Industrial System for Gamma Spectroscopic Analysis and Traceability of Stones and Building Materials.
Sensors, 2021
Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management.
Comput., 2021
Simulation Framework to Train Intelligent Agents towards an Assisted Driving Power Wheelchair for People with Disability.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Empowering Home Health Monitoring of Covid-19 Patients with Smartwatch Position and Fitness Tracking.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Assisted Driving for Power Wheelchair: A Segmentation Network for Obstacle Detection on Nvidia Jetson Nano.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021
2020
Improving care model for congenital heart diseases in paediatric patients using home telemonitoring of vital signs via biomedical sensors.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
2019
Exploring Machine Learning Algorithms to Identify Heart Failure Patients: the Tuscany Region Case Study.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Empowering Deafblind Communication Capabilities by Means of AI-Based Body Parts Tracking and Remotely Controlled Robotic Arm for Sign Language Speakers.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019
2018
Population Health Management Exploiting Machine Learning Algorithms to Identify High-Risk Patients.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018