Parking is a crucial element in urban mobility management. The availability of parking areas
makes it easier to use a service, determining its success. Proper parking management …

In recent years, security in urban areas has gradually assumed a central position, focusing
increasing attention on citizens, institutions and political forces. Security problems have a …

We present a novel approach to tackle the problem of sound event detection (SED) in urban
environments using end-to-end convolutional neural networks (CNN). It consists of a 1D …

The temporal and spectral structure is possessed in the time-frequency domain by sound
events. Analyzing and classifying acoustic environment using sound recording is an …

This article addresses the need for early emergency detection and safety monitoring in
public spaces using deep learning techniques. The problem of discerning relevant sound …

In this research paper, we presented a novel approach to detect impulsive sounds in real-
time using a combination of Deep CNN and RNN architectures. The proposed approach …

Emergency vehicles are equipped with audio and visual warning devices, which are meant
to help them navigate through traffic by demanding manoeuvring space from other vehicles …

The aim of the smart city is to provide the technological access for the automation of city.
This paper examines an audio classification application based on Machine Learning for …

Today, humans pose the greatest threat to society by getting involved in robbery, assault, or
homicide activities. Such circumstances threaten the people working alone at night in …

This work investigates how to detect emergency vehicles such as ambulances, fire engines,
and police cars based on their siren sounds. Recognizing that car drivers may sometimes be …