Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Leonardo Gabrielli"'
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109146- (2023)
Accurate perception and awareness of the environment surrounding the automobile is a challenge in automotive research. This article presents A3CarScene, a dataset recorded while driving a research vehicle equipped with audio and video sensors on publ
Externí odkaz:
https://doaj.org/article/955b0e510f4346a99967a760424df521
Publikováno v:
Sensors, Vol 22, Iss 12, p 4338 (2022)
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This
Externí odkaz:
https://doaj.org/article/ab1d4bbfecfb41c6854edd367e9bd79d
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 473 (2021)
The recent introduction of Deep Learning has led to a vast array of breakthroughs in many fields of science and engineering [...]
Externí odkaz:
https://doaj.org/article/9a51fe62c3b64c01a32fae698e01234a
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2483 (2020)
Audio equalization is an active research topic aiming at improving the audio quality of a loudspeaker system by correcting the overall frequency response using linear filters. The estimation of their coefficients is not an easy task, especially in bi
Externí odkaz:
https://doaj.org/article/19017fb8316d455e9caf295b0efa9bf4
Publikováno v:
Energies, Vol 9, Iss 9, p 665 (2016)
In the last few years, due to the technological improvement of advanced metering infrastructures, water and natural gas grids can be regarded as smart-grids, similarly to power ones. However, considering the number of studies related to the applicati
Externí odkaz:
https://doaj.org/article/29ccbf9dc36a4b7baa1342ffddd6babb
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/19fa64db231a4112852378d0e288f409
Autor:
Leonardo Gabrielli, Luca Turchet
Publikováno v:
AudioMostly 2022.
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
Sensors; Volume 22; Issue 12; Pages: 4338
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 5:108-118
In the recent years, several supervised and unsupervised approaches to fall detection have been presented in the literature. These are generally based on a corpus of examples of human falls that are, though, hard to collect. For this reason, fall det