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The volume of data being collected in solar astronomy has
exponentially increased over the past decade and we will be
entering the age of petabyte solar data. Deep learning has been an
invaluable tool exploited to efficiently extract key information
from the massive solar observation data, to solve the tasks of data
archiving/classification, object detection and recognition.
Astronomical study starts with imaging from recorded raw data,
followed by image processing, such as image reconstruction,
inpainting and generation, to enhance imaging quality. We study
deep learning for solar image processing. First, image
deconvolution is investigated for synthesis aperture imaging.
Second, image inpainting is explored to repair over-saturated solar
image due to light intensity beyond threshold of optical lens.
Third, image translation among UV/EUV observation of the
chromosphere/corona, Ha observation of the chromosphere and
magnetogram of the photosphere is realized by using GAN, exhibiting
powerful image domain transfer ability among multiple wavebands and
different observation devices. It can compensate the lack of
observation time or waveband. In addition, time series model, e.g.,
LSTM, is exploited to forecast solar burst and solar activity
indices. This book presents a comprehensive overview of the deep
learning applications in solar astronomy. It is suitable for the
students and young researchers who are major in astronomy and
computer science, especially interdisciplinary research of them.
Amphioxus Immunity: Tracing the Origin of Human Immunity covers a
remarkable range of information about Amphioxus and its
evolutionary context. This compilation of what is currently known
about Amphioxus, with a sharp focus on its immune system, includes
13 topics, such as: Amphioxus as a model for understanding the
evolution of vertebrates basic knowledge of immunology immune
organs and cells of amphioxus a genomic and transcriptomic view of
the Amphioxus immunity pattern recognition system in Amphioxus
transcription factors in Amphioxus the complement system of
Amphioxus the oxidative burst system in Amphioxus immune effectors
in Amphioxus lipid signaling of immune response in Amphioxus
apoptosis in amphioxus; primitive adaptive immune system of
Amphioxus and future research directions This valuable reference
book is loaded with information that will be useful for anyone who
wishes to learn more about the origin of vertebrates and adaptive
immunity.
The book encompasses the state-of-the-art visual quality assessment
(VQA) and learning based visual quality assessment (LB-VQA) by
providing a comprehensive overview of the existing relevant
methods. It delivers the readers the basic knowledge, systematic
overview and new development of VQA. It also encompasses the
preliminary knowledge of Machine Learning (ML) to VQA tasks and
newly developed ML techniques for the purpose. Hence, firstly, it
is particularly helpful to the beginner-readers (including research
students) to enter into VQA field in general and LB-VQA one in
particular. Secondly, new development in VQA and LB-VQA
particularly are detailed in this book, which will give peer
researchers and engineers new insights in VQA.
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Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
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