Environmental noise is an undesirable by product of industrialization and urbanization
where this unwanted sound makes a significant damage to human beings viz. can cause …

This paper demonstrates the applications of artificial neural networks to predict the
equivalent continuous sound level (L_ Aeq)(L Aeq) and 10 Percentile exceeded sound level …

This paper illustrates the applications of analytical models and machine learning methods to
predict the equivalent continuous sound pressure levels (L Aeq) along with 10-percentile …

Nowadays, time-series modelling techniques are widely used for prediction and forecasting
of non-stationary data's. The study analyses the continuous one-year ambient noise data …

Ambient day and night noise levels prediction problems have traditionally been addressed
using various statistical and machine learning methods. This paper presents the time-series …

Traffic congestion in road networks increase the rate of vehicles at each road and decrease
the average of circulation in intersections, this problem can be controlled and managed with …

In present's circumstances, vehicle oper-ators are subjected to severe health hazards due to
extended period of noise, and vibration exposure while operating the vehicle. The aim of this …

La doctoranda Natalia Genaro García y los directores de la tesis Ignacio Requena Ramos y
Montserrat Zamorano Toro garantizamos, al firmar esta tesis doctoral, que el trabajo ha sido …

The increasing effects of noise pollution have necessitated the prediction of noise levels. In
this regard, it has become very prudent to find models which are practically applicable and …

Prediction of urban noise is becoming more significant for tackling noise pollution and
protecting human mental health. However, the existing noise prediction algorithms …