Titolo |
Pubblicato in |
Anno |
Hardware-assisted and Deep-Learning techniques for Low-Power Detection of Cardiovascular Abnormalities in Smart Wearables |
Proceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 |
2021 |
A smartwater metering deployment based on the fog computing paradigm |
APPLIED SCIENCES |
2020 |
On Refining Design Patterns for Smart Contracts |
Euro-Par 2019: Parallel Processing Workshops |
2020 |
Modeling and forecasting gender-based violence through machine learning techniques |
APPLIED SCIENCES |
2020 |
Bridging the gap between school and out-of-school science: A Making pedagogical approach |
SEEDA-CECNSM 2020 - 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference |
2020 |
Using IoT-based big data generated inside school buildings |
Big Data-Enabled Internet of Things |
2020 |
Fog-computing-based heartbeat detection and arrhythmia classification using machine learning |
ALGORITHMS |
2019 |
Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques |
SENSORS |
2019 |
On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients |
SENSORS |
2019 |
Utilising fog computing for developing a person-centric heart monitoring system |
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS |
2019 |
On the design of a fog computing-based, driving behaviour monitoring framework |
2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) |
2019 |
Sparks-Edge: Analytics for intelligent city water metering |
AmI 2019 Poster and Workshop Sessions of AmI-2019 |
2019 |
Evaluating a design-based learning approach using IoT technologies for STEM education |
AmI 2019 Poster and Workshop Sessions of AmI-2019 |
2019 |
Preface |
46th International Colloquium on Automata, Languages, and Programming, ICALP 2019 |
2019 |
Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach |
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE |
2019 |
IoT sensors in sea water environment: Ahoy! Experiences from a short summer trial |
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE |
2019 |
Data-driven intrusion detection for ambient intelligence |
Ambient Intelligence |
2019 |
Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration |
Ambient Intelligence |
2019 |
Preface |
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE |
2019 |
Preface |
Ambient Intelligence. 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings |
2019 |