Nanostructuring is very effective in enhancingthe thermal to electrical energy conversion efficiency of mostmaterials, including in particular silicon which presents aperfect trade-off between technical potentialities andenvironmental/political/social...
The strong reduction of thermal conductivity with respect to bulk siliconThe strong reduction of thermal conductivity with respect to bulk siliconmakes nanostructured silicon one of the best materials for highly efficientdirect conversion of heat into...
Quantum computer operations, called quantum gates, include qubit rotations, entanglement operations, and measurements, each of which is essential for the implementation of advanced quantum algorithms. However, the effect of phase noise in control...
The paper presents the research project of the author, focused on developing, implementing and testing a vision based relative navigation system for spacecraft. A temporal organization of the project is presented, with tasks assigned to each year of...
The paper presents the research project of the author, focused on developing, implementing and testing a vision based relative navigation system for spacecraft. A temporal organization of the project is presented, with tasks assigned to each year of...
The paper presents the research project of the author, focused on developing, implementing and testing a vision based relative navigation system for spacecraft. A temporal organization of the project is presented, with tasks assigned to each year of...
We present the development of a project for the reliable measurement of the dephasing times of superconducting qubits. Here we focus specifically on the relevance of the phase noise affecting the system and on the approach we follow to evaluate it and...
In modern agriculture, controlled environment techniques like hydroponic greenhouses are becoming increasingly popular for their efficiency and higher crop yields. This paper presents a new method for predicting temperature and humidity in smart...
In the agricultural sector, climate change with water bombs and drought periods leads us to search solutions in terms of efficient use of resources, especially water, and to create weather independent systems. Monitoring and controlling the growth of...
This research presents an energy-efficient monitoring system for smart greenhouses aimed at reducing power consumption and enhancing sustainability. The study focuses on optimizing the sampling time of monitored environmental parameters to minimize...
Sodium-ion batteries offer a promising alternative to lithium-ion ones thanks to their lower cost, smaller ecological footprint, and less stringent safety requirements. The development of an accurate model to reproduce their behaviors is still an open...
Wireless Sensor Networks offer significant advancement in real-time data collection and analysis in various application scenarios. Sometimes their nodes are placed in difficult-to reach areas making the replacement of their battery impossible....
G. Rho, F. Di Rienzo, C. Marinai, F. Giannetti, L. Arcarisi, P. Bufano, M. Zanoletti, F. Righetti, C. Vallati, M. Laurino, N. Carbonaro, A. Tognetti, A. Greco, Preliminary Assessment of the Samsung Galaxy Watch 5 Accuracy for the Monitoring of Heart...
N. Carbonaro, M. Laurino, A. Greco, C. Marinai, F. Giannetti, F. Righetti, F. Di Rienzo, G. Rho, L. Arcarisi, M. Zanoletti, P. Bufano, M. Tesconi, N. Sgambelluri, D. Menicucci, C. Vallati, A. Tognetti, Smart Sensors for Daily-Life Data Collection...
F. Di Rienzo, F. Righetti, M. Laurino, A. Greco, C. Marinai, I. Di Mambro, E. Melissa, N. Carbonaro, F. Bossi, G. Rho, L. Arcarisi, M. Zanoletti, P. Bufano, A. Tognetti, C. Vallati, Using Multiple Devices for Patient Monitoring in Clinical Studies: The...
C. Marinai, L. Arcarisi, F. Bossi, P. Bufano, F. Di Rienzo, E. Melissa, G. Rho, M. Zanoletti, A. Greco, M. Laurino, C. Vallati, N. Carbonaro, A. Tognetti, Smart Mattress Cover for Unobtrusive Monitoring of SleepQuality Correlates in Real-Life, Accepted...
Z. Michele, B. Pasquale, B. Francesco, D.R. Francesco, M. Carlotta, R. Gianluca, V. Carlo, C. Nicola, G. Alberto, L. Marco, Combining different wearable devices to assess gait speed in real-world setting, Sensors (2024) 1–22....
Abstract: Developing reliable and explainable models is a crucial point to effectively integrate and exploit the potentials offered by Deep Learning (DL) architectures in high-stakes scenarios like healthcare. There are several applications that...
Abstract: Medical image classifcation using convolutional neural networks (CNNs) is promising but often requires extensive manual tuning for optimal model defnition. Neural architecture search (NAS) automates this process, reducing human intervention...
In teletraffic engineering, M/G/1 queues are pivotal for optimizing network performance and operational efficiency. Closed formulas like the mean-value Pollaczek-Khinchin (MV-PK) are highly valued by practitioners due to their simplicity, facilitating...