RAZONAMIENTO APROXIMADO E INTELIGENCIA ARTIFICIAL
RAZONAMIENTO APROXIMADO E INTE
University of Southampton
Southampton, Reino UnidoPublicaciones en colaboración con investigadores/as de University of Southampton (9)
2018
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Soundscape assessment of a monumental place: A methodology based on the perception of dominant sounds
Landscape and Urban Planning, Vol. 169, pp. 12-21
2016
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A bayesian method for model selection in environmental noise prediction
Journal of Environmental Informatics, Vol. 27, Núm. 1, pp. 31-42
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Application of the fuzzy analytic hierarchy process in multi-criteria decision in noise action plans: Prioritizing road stretches
Environmental Modelling and Software, Vol. 81, pp. 45-55
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Automated classification of urban locations for environmental noise impact assessment on the basis of road-traffic content
Expert Systems with Applications, Vol. 53, pp. 1-13
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Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model
Environmental Impact Assessment Review, Vol. 61, pp. 8-18
2014
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A methodology for classification by priority for action: Selecting road stretches for network noise action plans
Transportation Research Part D: Transport and Environment, Vol. 29, pp. 66-78
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A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model
Science of the Total Environment, Vol. 482-483, Núm. 1, pp. 440-451
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Analysis of the suitability of using the A-weighting filter for evaluating road traffic exposure
Proceedings of Forum Acusticum
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Exploratory analysis of the factors involved in the perception of the quality of urban soundscapes
Proceedings of Forum Acusticum