Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Alessandro Palla"'
Autor:
Martina Padovan, Bianca Cosci, Armando Petillo, Gianluca Nerli, Francesco Porciatti, Sergio Scarinci, Francesco Carlucci, Letizia Dell’Amico, Niccolò Meliani, Gabriele Necciari, Vincenzo Carmelo Lucisano, Riccardo Marino, Rudy Foddis, Alessandro Palla
Publikováno v:
Bioengineering, Vol 11, Iss 1, p 57 (2024)
The objective of this study is to evaluate ChatGPT’s accuracy and reliability in answering complex medical questions related to occupational health and explore the implications and limitations of AI in occupational health medicine. The study also p
Externí odkaz:
https://doaj.org/article/c1c7bff0ed6f4b8ba4597550cc720864
Publikováno v:
EAI Endorsed Transactions on Ambient Systems, Vol 3, Iss 13, Pp 1-7 (2017)
In the last few years power wheelchairs have been becoming the only device able to provide autonomy and independence to people with motor skill impairments. In particular, many power wheelchairs feature robotic arms for gesture emulation, like the in
Externí odkaz:
https://doaj.org/article/3cacb926882149fb9703f61a906042e9
Autor:
Martina Padovan, Bianca Cosci, Armando Petillo, Gianluca Nerli, Francesco Porciatti, Sergio Scarinci, Francesco Carlucci, Letizia Dell’Amico, Niccolo’ Meliani, Gabriele Necciari, Vincenzo Carmelo Lucisano, Riccardo Marino, Rudy Foddis, Alessandro Palla
ObjectivesThe objective of this study is to evaluate ChatGPT’s accuracy and reliability in answering complex medical questions related to occupational health and to explore the implications and limitations of AI in occupational health medicine whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ce6d3a7cdf44da384a9166e575841d
https://doi.org/10.1101/2023.05.17.23290055
https://doi.org/10.1101/2023.05.17.23290055
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030119720
ApplePies
ApplePies
This work presents a fully digital implementation of an audio front-end for portable applications developed in a low-power perspective. Such platform acquires audio samples through a four digital Pulse Digital Modulation (PDM) microphones array and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f14a8e3259fb5f21f865f40d83b4b5f
https://doi.org/10.1007/978-3-030-11973-7_52
https://doi.org/10.1007/978-3-030-11973-7_52
Publikováno v:
ICSAI
In this work, we propose a 3D scene reconstruction algorithm based on a fully convolutional 3D denoising autoencoder neural network. The network is capable of reconstructing a full scene from a single depth image by creating a 3D representation of it
Publikováno v:
Studies in health technology and informatics. 242
In the field of deep learning, this paper presents the design of a wearable computer vision system for visually impaired users. The Assistive Technology solution exploits a powerful single board computer and smart glasses with a camera in order to al
Publikováno v:
Smart Objects and Technologies for Social Good ISBN: 9783319619484
GOODTECHS
GOODTECHS
In the last decades, smart power wheelchairs have being used by people with motor skill impairment in order to improve their autonomy, independence and quality of life. The most recent power wheelchairs feature many technological devices, such as las
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25ba80efe6d053a94ca34a2aa26e7a28
http://hdl.handle.net/11568/908419
http://hdl.handle.net/11568/908419
Publikováno v:
ICCBB
Scene reconstruction from multiple viewpoints are not always possible and rather it represents a small minority of the potential applications, from robotic manipulators to drones, autonomous vehicles etc... To overcome those limitations, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4386282f97f4a80e1af0aafd368463d5
http://hdl.handle.net/11568/887737
http://hdl.handle.net/11568/887737
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319479125
ApplePies
ApplePies
Automatic Speech Recognition (ASR) is a valid solution for smartphone and PC interaction from people with motor skill impairments. However recognition performances are reduced in scenarios affected by environmental noise. We propose a speech enhancem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91207e39e1da22d70c24cef14f8b10b1
http://hdl.handle.net/11568/832695
http://hdl.handle.net/11568/832695
Publikováno v:
NORCAS
Area and Power consumption are important design metrics in integrated circuit (IC), in particular in those targeted for wearable devices. Σ-Δ Analog to Digital Converter (ADC) are increasing in popularity in those devices thanks to the low bandwidt