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Titlebook: Springer Series in Light Scattering; Volume 1: Multiple L Alexander Kokhanovsky Book 2018 Springer International Publishing AG, part of Spr

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书目名称Springer Series in Light Scattering
副标题Volume 1: Multiple L
编辑Alexander Kokhanovsky
视频video
概述Provides numerous step-by-step tutorials that help readers learn quickly.Brings together scientists and scholars from different research fields to provide a better understanding of single and multiple
丛书名称Springer Series in Light Scattering
图书封面Titlebook: Springer Series in Light Scattering; Volume 1: Multiple L Alexander Kokhanovsky Book 2018 Springer International Publishing AG, part of Spr
描述This book presents recent advances in studies of light propagation, scattering, emission and absorption in random media. Many natural and biological media vary randomly in time and space. Examples are terrestrial atmosphere and ocean, biological liquids and tissues to name but a few.
出版日期Book 2018
关键词Radiative transfer; Atmospheric optics; Ocean optics; Tissue Optics; light scattering media optics; air p
版次1
doihttps://doi.org/10.1007/978-3-319-70796-9
isbn_softcover978-3-319-88992-4
isbn_ebook978-3-319-70796-9Series ISSN 2509-2790 Series E-ISSN 2509-2804
issn_series 2509-2790
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Olli Jokinen,Hannakaisa Lindqvist,Konrad Kandler,Osku Kemppinen,Timo Nousiainenain for information on the subject even in major textbooks. What published information there is may consist of brief reminders of the possible association of superoxidase dismutase with familial amyotrophic lateral sclerosis and nitrous oxide with migraine. With luck they may also find information o
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ain for information on the subject even in major textbooks. What published information there is may consist of brief reminders of the possible association of superoxidase dismutase with familial amyotrophic lateral sclerosis and nitrous oxide with migraine. With luck they may also find information o
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Neural Networks and Support Vector Machines and Their Application to Aerosol and Cloud Remote Sensia more complex type of algorithm. In this paper we review examples of use of machine learning techniques in the three ways mentioned above. Furthermore, we discuss the theoretical basis underlying the use of these techniques in remote sensing, as well as their advantages and disadvantages with respe
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