The 2026 Microwave Theory and Technology Society Graduate Student Fellowship Awards [Education News]
Valeria Vadalà, Giovanni Crupi, M. Mercuri, Changzhi Li et autres
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Valeria Vadalà, Giovanni Crupi, M. Mercuri, Changzhi Li et autres
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Federica Sicilia, Marida De Maria, M. Mercuri, Patrizia Vizza
Obstructive Sleep Apnea Syndrome (OSAS) is a highly prevalent, underdiagnosed condition characterized by recurrent upper airway obstructions and oxygen desaturation. Polysomnography (PSG) is the diagnostic gold standard, but its high cost and intrusiveness limit its use for large-scale screening and home monitoring. …
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Marida De Maria, Gianluigi Attanasio, Martina De Salazar, P Veltri et autres
This article presents the design, development, and validation of a plugin that integrates deep learning models into the open-source 3D Slicer framework for the visualization and analysis of biomedical images. The system implements a convolutional neural network (CNN) based on VGG16, trained …
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Andrea Gargano, Roberto Garofalo, Alberto Greco, Marida De Maria et autres
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G. Molinaro, Carmine Garripoli, Jesse Pasterkamp, Dogukan Barkan et autres
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Marida De Maria, Andrea Gargano, Ilde Lorato, Giuseppe Marrara et autres
Mitigating the effects of random body movements (RBMs) remains a major challenge for reliable radar-based vital sign monitoring, as the resulting artifacts can mask or distort subtle respiration and heartbeat signals. In this work, we present a signal processing pipeline to reduce …
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Pouya Mehrjouseresht, Vladimir Volski, Ihsane Gryech, Robbert Beerten et autres
This article introduces an innovative approach integrating machine learning (ML) methods into a far-field wireless power transfer (WPT) system. Within this system, a radar is employed to detect the presence and height of individuals. These data, combined with information on the location …
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Valeria Vadalà, Giovanni Crupi, M. Mercuri, Changzhi Li et autres
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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M. Mercuri, Giulia Sacco, Rainer Hornung, Huib Visser et autres
In this work, we propose a signal processing technique for beam-steering radar architectures allowing concurrent two-dimensional (2-D) localization and vital signs monitoring of human subjects. We demonstrated it by using a single-input single-output (SISO) frequency-modulated continuous wave (FMCW) radar which integrates two …
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Giovanni Crupi, Valeria Vadalà, M. Mercuri, Changzhi Li et autres
Presents the recipients of the MTTS society 2024 Graduate Student Fellowship Awards.
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Giulia Sacco, M. Mercuri, Rainer Hornung, Huib Visser et autres
The contextual non-invasive monitoring and tracking of multiple human targets for health and surveillance purposes is an increasingly investigated application. Radars are good candidates, since they are able to remotely monitor people without raising privacy concerns. However, radar systems are typically based …
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M. Mercuri, Emilio Arnieri, Raffaele De Marco, Pierangelo Veltri et autres
The application of radar technology in indoor people monitoring has opened up new avenues, such as localization and tracking, vital signs monitoring, and fall detection. Nevertheless, one of the significant challenges facing radar systems is the issue of indoor multipath propagation, which …
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