Marco Giordano
Orcid: 0000-0003-1106-3472
According to our database1,
Marco Giordano
authored at least 21 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning.
CoRR, 2024
The OCON model: an old but gold solution for distributable supervised classification.
Proceedings of the IEEE Symposium on Computers and Communications, 2024
The OCON Model: An Old but Green Solution for Distributable Supervised Classification for Acoustic Monitoring in Smart Cities.
Proceedings of the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2), Erlangen, Germany, September 30, 2024
i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring.
Proceedings of the Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
IEEE Trans. Biomed. Eng., July, 2023
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023
Towards Model Development for Sensor-Based Activity Recognition at the Construction Site.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023
Proceedings of the 2023 4th International Symposium on the Internet of Sounds, 2023
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices.
Proceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, 2023
Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring.
IEEE Trans. Instrum. Meas., 2022
Survey, Analysis and Comparison of Radar Technologies for Embedded Vital Sign Monitoring.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Real-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning Approach.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
2020
Proceedings of the 8th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, 2020