Automatic ECG diagnosis using convolutional neural network
R Avanzato, F Beritelli - Electronics, 2020 - mdpi.com
Cardiovascular disease (CVD) is the most common class of chronic and life-threatening
diseases and, therefore, considered to be one of the main causes of mortality. The proposed …
diseases and, therefore, considered to be one of the main causes of mortality. The proposed …
Heart sound multiclass analysis based on raw data and convolutional neural network
R Avanzato, F Beritelli - IEEE Sensors Letters, 2020 - ieeexplore.ieee.org
In recent years, automatic diagnosis of the state of health of the heart by employing the
phonocardiogram (PCG) has achieved remarkable success. This letter proposes a low …
phonocardiogram (PCG) has achieved remarkable success. This letter proposes a low …
Rainfall observation using surveillance audio
X Wang, M Wang, X Liu, T Glade, M Chen, Y Xie… - Applied Acoustics, 2022 - Elsevier
Environmental audio recordings are a rich and underexploited source of rainfall events.
Widespread surveillance cameras continuously record rainfall information, which provides a …
Widespread surveillance cameras continuously record rainfall information, which provides a …
An urban acoustic rainfall estimation technique using a CNN inversion approach for potential smart city applications
The need for robust rainfall estimation has increased with more frequent and intense floods
due to human-induced land use and climate change, especially in urban areas. Besides the …
due to human-induced land use and climate change, especially in urban areas. Besides the …
[HTML][HTML] Estimating rainfall intensity based on surveillance audio and deep-learning
M Wang, M Chen, Z Wang, Y Guo, Y Wu… - Environmental Science …, 2024 - Elsevier
Rainfall data with high spatial and temporal resolutions are essential for urban hydrological
modeling. Ubiquitous surveillance cameras can continuously record rainfall events through …
modeling. Ubiquitous surveillance cameras can continuously record rainfall events through …
An innovative acoustic rain gauge based on convolutional neural networks
R Avanzato, F Beritelli - Information, 2020 - mdpi.com
An accurate estimate of rainfall levels is fundamental in numerous application scenarios:
weather forecasting, climate models, design of hydraulic structures, precision agriculture …
weather forecasting, climate models, design of hydraulic structures, precision agriculture …
YOLOv3-based mask and face recognition algorithm for individual protection applications
To combat the spread of the COVID-19 pandemic, it is essential to strictly obey social
distancing measures, as well as have the possibility to possess and wear personal …
distancing measures, as well as have the possibility to possess and wear personal …
Hydrogeological risk management in smart cities: A new approach to rainfall classification based on LTE cell selection parameters
R Avanzato, F Beritelli - IEEE Access, 2020 - ieeexplore.ieee.org
The sudden climate change, that has taken place in recent years, has generated calamitous
phenomena linked to hydrogeological instability in many areas of the world. An accurate …
phenomena linked to hydrogeological instability in many areas of the world. An accurate …
A multi-cache system for on-chip memory optimization in FPGA-based CNN accelerators
In recent years, FPGAs have demonstrated remarkable performance and contained power
consumption for the on-the-edge inference of Convolutional Neural Networks. One of the …
consumption for the on-the-edge inference of Convolutional Neural Networks. One of the …
An advanced multimodal driver-assistance prototype for emergency-vehicle detection
L Gabrielli, L Migliorelli, M Cantarini… - Integrated …, 2024 - content.iospress.com
In the automotive industry, intelligent monitoring systems for advanced human-vehicle
interaction aimed at enhancing the safety of drivers and passengers represent a rapidly …
interaction aimed at enhancing the safety of drivers and passengers represent a rapidly …