I. Pavón

TL;DR: An asphalt status classification system based on real-time acoustic analysis of tyre/road noise and the signal processing algorithms used for the classification of the asphalt state is proposed.

TL;DR: In this paper, an analysis has been carried out to describe the reduction in noise pollution that has occurred and to analyze the changes in the temporal patterns of noise, which are strongly correlated with the adaptation of the population's activity and behavior to the new circumstances.

TL;DR: A new approach based on a recurrent neural network (RNN) and a single waist-worn triaxial accelerometer is presented to enhance the FOG detection performance to be used in real home-environments and shows that modeling spectral information of adjacent windows through an RNN can bring a significant improvement in the performance of Fog detection.

TL;DR: The studied noise map was made in the Macrocenter of the Independent City of Buenos Aires (Argentina), which has an approximated extension of 20 km2 and about 500,000 inhabitants and compares it with the recommendations internationally adopted.

TL;DR: In this article, the authors found that the ratio between vigilance and foraging was at its maximum when aircraft noise was loudest, being almost double that during baseline levels, and the duration of vigilance episodes was strongly correlated with noise levels.