Journal ArticleDOI
Comparison of classical statistical methods and artificial neural network in traffic noise prediction
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TLDR
It is shown that the artificial neural networks can be a useful tool for the prediction of noise with sufficient accuracy and clearly show that ANN approach is superior in traffic noise level prediction to any other statistical method.About:
This article is published in Environmental Impact Assessment Review.The article was published on 2014-11-01. It has received 71 citations till now. The article focuses on the topics: Traffic noise & Noise.read more
Citations
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Journal ArticleDOI
Bioactive Compounds and Quality of Extra Virgin Olive Oil.
Cecilia Jimenez-Lopez,Cecilia Jimenez-Lopez,Maria Carpena,Catarina Lourenço-Lopes,María Gallardo-Gómez,José M. Lorenzo,Francisco J. Barba,Miguel A. Prieto,Jesus Simal-Gandara +8 more
TL;DR: In this article, the chemical composition of these many health-promoting compounds, such as unsaturated fatty acids (which are also the major compounds, especially oleic acid), as well as minor components such as tocopherols or phenolic compounds (which behave as natural antioxidants) must be preserved.
Journal ArticleDOI
Investigating changes in noise pollution due to the COVID-19 lockdown: The case of Dublin, Ireland
Bidroha Basu,Bidroha Basu,Enda Murphy,Anna Mölter,Anna Mölter,Arunima Sarkar Basu,Srikanta Sannigrahi,Miguel Belmonte,Francesco Pilla +8 more
TL;DR: A significant reduction in hourly average equivalent sound and hourly minimum sound levels was observed at all stations during the lockdown period and this can be attributed to reductions in both road and air traffic movements.
Journal ArticleDOI
Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia
Ratiranjan Jena,Biswajeet Pradhan,Biswajeet Pradhan,Ghassan Beydoun,Nizamuddin,Ardiansyah,Hizir Sofyan,Muzailin Affan +7 more
TL;DR: In this article, the authors developed an integrated model by using the artificial neural network-analytic hierarchy process (ANN-AHP) model for constructing the earthquake risk map, which can map the earthquake probability based on historical events with an accuracy of 84%.
Journal ArticleDOI
A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment
TL;DR: A new hybrid framework using Analytic Network Process (ANP) and Artificial Neural Network (ANN) models for constructing a composite social, economic, environmental, and physical vulnerability index was applied to Tabriz City, which is a seismic-prone province in the northwestern part of Iran with recurring devastating earthquakes and consequent heavy casualties and damages.
Journal ArticleDOI
Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran
Peyman Yariyan,Hasan Zabihi,Isabelle D. Wolf,Isabelle D. Wolf,Mohammadreza Karami,Sohrab Amiriyan +5 more
TL;DR: The hybrid FAHP-ANN model accurately identified the highest earthquake vulnerability in densely populated areas with dilapidated building infrastructure and is useful for decision makers with a scientific basis to develop earthquake risk management strategies.
References
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Book
A Guide to Econometrics
TL;DR: The fourth edition of "A Guide to Econometrics" provides an overview of the subject and an intuitive feel for its concepts and techniques without the notation and technical detail often characteristic of econometric textbooks.
Journal ArticleDOI
A critical review of some traffic noise prediction models
TL;DR: In this article, the authors present a review of traffic noise prediction models and the desiderata for these models and discuss several commonly used models and others under development, as well as some new models with different spectra.
Journal ArticleDOI
Optimal division of data for neural network models in water resources applications
TL;DR: In this paper, a case study is presented in which ANN models developed using each data division technique are used to forecast salinity in the River Murray at Murray Bridge (South Australia) 14 days in advance.
Journal ArticleDOI
Nocturnal road traffic noise: A review on its assessment and consequences on sleep and health.
TL;DR: In assessing sleep disturbances, the domain might benefit from additional longitudinal studies on deleterious effects of noise on mental health and general well-being, as well as methodological aspects in the study of noise and sleep.
Journal ArticleDOI
Road traffic noise, sensitivity, annoyance and self-reported health--a structural equation model exercise.
Aslak Fyhri,Ronny Klaeboe +1 more
TL;DR: The results suggest that the noise-health relationships in these studies may be spurious and it is conceivable that individual vulnerability is reflected both in ill health and in being sensitive to noise.
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