Marco Scarpetta

Orcid: 0000-0002-2632-7357

According to our database1, Marco Scarpetta authored at least 22 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring.
Sensors, February, 2023

Accurate Detection and Localization of Water Pipe Leaks through Model-Based TDR Inversion.
Sensors, January, 2023

SNOWED: Automatically Constructed Dataset of Satellite Imagery for Water Edge Measurements.
Sensors, 2023

The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

U-Net Convolutional Neural Network for Optic Disc Segmentation.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Split Ring Resonator Network and Diffused Sensing Element Embedded in a Concrete Beam for Structural Health Monitoring.
Sensors, 2022

A new dataset of satellite images for deep learning-based coastline measurement.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Monitoring of Seagrass Meadows Using Satellite Images and U-Net Convolutional Neural Network.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Low-cost capacitive sensor for oil-level monitoring in aircraft.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

BPMN-Redrawer: From Images to BPMN Models.
Proceedings of the Best Dissertation Award, 2022

2021
Detection and Characterization of Multiple Discontinuities in Cables with Time-Domain Reflectometry and Convolutional Neural Networks.
Sensors, 2021

Simultaneous Measurement of Heartbeat Intervals and Respiratory Signal using a Smartphone.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

Reducing effect of magnetic field noise on sensor position estimation in surgical EM tracking.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

Analysis of TDR Signals with Convolutional Neural Networks.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Thermal Characterization of Electrical Resistance of 3D printed sensors.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

A New Processing Method to Segment Olive Trees and Detect Xylella Fastidiosa in UAVs Multispectral Images.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020
Algorithms for Locating and Characterizing Cable Faults via Stepped-Frequency Waveform Reflectometry.
IEEE Trans. Instrum. Meas., 2020

Deep Learning-Based Computer Vision for Real Time Intravenous Drip Infusion Monitoring.
CoRR, 2020

Characterization of Heart Rate Estimation Using Piezoelectric Plethysmography in Time- and Frequency-domain.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Real-time drip infusion monitoring through a computer vision system.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Separation of Overlapping Reflected Signals in Stepped-Frequency Waveform Reflectometry.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
An Automatic Reader of Identity Documents.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019


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