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Titlebook: Highway and Urban Environment; Proceedings of the 9 Sébastien Rauch,G.M. Morrison,Andrés Monzón Conference proceedings 2010 Springer Scienc

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书目名称Highway and Urban Environment
副标题Proceedings of the 9
编辑Sébastien Rauch,G.M. Morrison,Andrés Monzón
视频video
概述The volume will be an up-to-date and comprehensive coverage of critical issues of the urban and highway environment, which is a key to understanding sustainability in the world‘s expanding urban areas
丛书名称Alliance for Global Sustainability Bookseries
图书封面Titlebook: Highway and Urban Environment; Proceedings of the 9 Sébastien Rauch,G.M. Morrison,Andrés Monzón Conference proceedings 2010 Springer Scienc
描述.The 9th Highway and Urban Environment Symposium (9HUES) was held in Madrid, Spain, from 9-11 June 2008. HUES is run by Chalmers University of Technology within the Alliance for Global Sustainability (The AGS). HUES was initiated by Professor Ron Hamilton at Middlesex Polytechnic (now University) in the early 1980s and had the title "Highway Pollution". The initial aim was to measure and assess challenges in highway pollution, with a strong emphasis on urban photochemical smog, ozone formation and particle release. After the first symposium, the emphasis on air pollution issues continued through to Munich in 1989 where diesel particulate issues and the relevance to health through measurements of PM10 emerged. The focus on air quality issues was also strengthened. In parallel, the symposium started to receive an increasing number of scientific contributions from the area of urban run off, indeed to the extent that the title of the symposium was changed to "Highway and Urban Pollution". Since then the importance of science in support of policy became increasingly important as a key aspect of the symposium. 9HUES was held at TRANSyT- Universidad Politécnica de Madrid, Spain to provide
出版日期Conference proceedings 2010
关键词AIR POLLUTION; Aerosol; CONTAMINATED SOILS AND WATERS; GREENHOUSE GASES; Kyoto agreement; SUSTAINABLE LAN
版次1
doihttps://doi.org/10.1007/978-90-481-3043-6
isbn_softcover978-94-007-3095-3
isbn_ebook978-90-481-3043-6Series ISSN 1571-4780 Series E-ISSN 2215-1699
issn_series 1571-4780
copyrightSpringer Science+Business Media B.V. 2010
The information of publication is updating

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Highway and Urban Environment978-90-481-3043-6Series ISSN 1571-4780 Series E-ISSN 2215-1699
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rst experiences in using AI tools to measure credit risk.Dis.This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating mo
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tion of machine learning techniques in the context of the Probability of Default (PD) parameter estimation leads to enhancements of the PD models, able to capture phenomena that were not properly explained by the traditional models. Some examples are described in this paragraph: risk discrimination
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Alexandra Lichtenberg,Patrícia Guimarães,Heleen Podsedkowskare personalized and efficient. Sadly, this has drawn the attention of cyber attackers, who have turned IoT into a target of illicit activity, leaving the terminal nodes vulnerable to attacks. A successful secure framework is provided by an intrusion detection system (IDS), which plays a crucial role
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