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This book proposes that the short-term goal of the current reform
of the international monetary system should be a combination of
controlling 'imbalances' and 'the risk of the dollar', namely using
the balance of payments coordination mechanism to suppress risks by
exchange rate cooperation. The reforms of international reserve
currencies, international financial institutions, and international
financial regulation provide a good external environment for the
stable development of the world economy. The book discusses the
mechanisms that will continue to support the hegemony of the US
dollar and the US dollar system in the future, including the
commodity dollar return mechanism, the international debt repayment
mechanism, the petroleum dollar pricing mechanism and the dollar
rescue mechanism in financial crisis. The book predicts that the
current international currency system dominated by the US dollar
will remain sustainable for a long time. Finally, the book proposes
four strategies for China's participation in the reform of the
international monetary system.
Deep Learning has achieved great success in many challenging
research areas, such as image recognition and natural language
processing. The key merit of deep learning is to automatically
learn good feature representation from massive data conceptually.
In this book, we will show that the deep learning technology can be
a very good candidate for improving sensing capabilities.In this
edited volume, we aim to narrow the gap between humans and machines
by showcasing various deep learning applications in the area of
sensing. The book will cover the fundamentals of deep learning
techniques and their applications in real-world problems including
activity sensing, remote sensing and medical sensing. It will
demonstrate how different deep learning techniques help to improve
the sensing capabilities and enable scientists and practitioners to
make insightful observations and generate invaluable discoveries
from different types of data.
Biologists are stepping up their efforts in understanding the
biological processes that underlie disease pathways in the clinical
contexts. This has resulted in a flood of biological and clinical
data from genomic and protein sequences, DNA microarrays, protein
interactions, biomedical images, to disease pathways and electronic
health records. To exploit these data for discovering new knowledge
that can be translated into clinical applications, there are
fundamental data analysis difficulties that have to be overcome.
Practical issues such as handling noisy and incomplete data,
processing compute-intensive tasks, and integrating various data
sources, are new challenges faced by biologists in the post-genome
era. This book will cover the fundamentals of state-of-the-art data
mining techniques which have been designed to handle such
challenging data analysis problems, and demonstrate with real
applications how biologists and clinical scientists can employ data
mining to enable them to make meaningful observations and
discoveries from a wide array of heterogeneous data from molecular
biology to pharmaceutical and clinical domains.
This book presents outstanding articles addressing various aspects
related to the ancient Silk Road, in particular the cultural,
political, and economic interactions that took place among the
civilizations and cultures on the Eurasian continent. In addition,
the articles help to reveal the hallmark features of cultural
communication in Inner Asia in different historical periods. The
book develops a new approach to studying the civilizations of the
Silk Road, promotes interdisciplinary and multi-dimensional
research, sets a new direction for Chinese ancient classics and
western sinology, and presents the latest discoveries, including
both archaeological finds and historical documents.
This volume includes outstanding scientific articles on documents
written in ancient languages such as Tocharian, Sogdian, Khotanese,
and Old Uyghur. Its chief aims are to contribute to the present
state of research by adding essential findings on newly discovered
historical documents; to present a multi-dimensional investigation
of diverse aspects including the history, religion, art,
literature, and social life along the Silk Road; and to outline
potential future research directions for non-Han literature studies
and inspire research into other aspects, such as economics and
comparative studies.
This book presents outstanding articles addressing various aspects
related to the ancient Silk Road, in particular the cultural,
political, and economic interactions that took place among the
civilizations and cultures on the Eurasian continent. In addition,
the articles help to reveal the hallmark features of cultural
communication in Inner Asia in different historical periods. The
book develops a new approach to studying the civilizations of the
Silk Road, promotes interdisciplinary and multi-dimensional
research, sets a new direction for Chinese ancient classics and
western sinology, and presents the latest discoveries, including
both archaeological finds and historical documents.
This volume includes outstanding scientific articles on documents
written in ancient languages such as Tocharian, Sogdian, Khotanese,
and Old Uyghur. Its chief aims are to contribute to the present
state of research by adding essential findings on newly discovered
historical documents; to present a multi-dimensional investigation
of diverse aspects including the history, religion, art,
literature, and social life along the Silk Road; and to outline
potential future research directions for non-Han literature studies
and inspire research into other aspects, such as economics and
comparative studies.
This book reviews cutting-edge developments in neural signalling
processing (NSP), systematically introducing readers to various
models and methods in the context of NSP. Neuronal Signal
Processing is a comparatively new field in computer sciences and
neuroscience, and is rapidly establishing itself as an important
tool, one that offers an ideal opportunity to forge stronger links
between experimentalists and computer scientists. This new
signal-processing tool can be used in conjunction with existing
computational tools to analyse neural activity, which is monitored
through different sensors such as spike trains, local filed
potentials and EEG. The analysis of neural activity can yield vital
insights into the function of the brain. This book highlights the
contribution of signal processing in the area of computational
neuroscience by providing a forum for researchers in this field to
share their experiences to date.
This thesis reports on innovations in the design and direct
synthesis of graphene-based woven fabric (GWF) and multi-layer
graphene/porous carbon woven fabric films (MLG/PC) by means of
chemical vapor deposition (CVD), using woven copper mesh and nickel
mesh as the template. Further, it presents the successful
applications of these materials as a platform for solar cells,
super capacitors and sensors, making it especially of interest to
researchers and graduate students in the fields of materials
sciences, nanotechnology and renewable energy.
This book reviews cutting-edge developments in neural signalling
processing (NSP), systematically introducing readers to various
models and methods in the context of NSP. Neuronal Signal
Processing is a comparatively new field in computer sciences and
neuroscience, and is rapidly establishing itself as an important
tool, one that offers an ideal opportunity to forge stronger links
between experimentalists and computer scientists. This new
signal-processing tool can be used in conjunction with existing
computational tools to analyse neural activity, which is monitored
through different sensors such as spike trains, local filed
potentials and EEG. The analysis of neural activity can yield vital
insights into the function of the brain. This book highlights the
contribution of signal processing in the area of computational
neuroscience by providing a forum for researchers in this field to
share their experiences to date.
This thesis reports on innovations in the design and direct
synthesis of graphene-based woven fabric (GWF) and multi-layer
graphene/porous carbon woven fabric films (MLG/PC) by means of
chemical vapor deposition (CVD), using woven copper mesh and nickel
mesh as the template. Further, it presents the successful
applications of these materials as a platform for solar cells,
super capacitors and sensors, making it especially of interest to
researchers and graduate students in the fields of materials
sciences, nanotechnology and renewable energy.
Statistical science as organized in formal academic departments is
relatively new. With a few exceptions, most Statistics and
Biostatistics departments have been created within the past 60
years. This book consists of a set of memoirs, one for each
department in the U.S. created by the mid-1960s. The memoirs
describe key aspects of the department's history -- its founding,
its growth, key people in its development, success stories (such as
major research accomplishments) and the occasional failure story,
PhD graduates who have had a significant impact, its impact on
statistical education, and a summary of where the department stands
today and its vision for the future. Read here all about how
departments such as at Berkeley, Chicago, Harvard, and Stanford
started and how they got to where they are today. The book should
also be of interests to scholars in the field of disciplinary
history.
Statistical science as organized in formal academic departments
is relatively new. With a few exceptions, most Statistics and
Biostatistics departments have been created within the past 60
years. This book consists of a set of memoirs, one for each
department in the U.S. created by the mid-1960s. The memoirs
describe key aspects of the department s history -- its founding,
its growth, key people in its development, success stories (such as
major research accomplishments) and the occasional failure story,
PhD graduates who have had a significant impact, its impact on
statistical education, and a summary of where the department stands
today and its vision for the future. Read here all about how
departments such as at Berkeley, Chicago, Harvard, and Stanford
started and how they got to where they are today. The book should
also be of interests to scholars in the field of disciplinary
history. "
Since their popularization in the 1990s, Markov chain Monte Carlo
(MCMC) methods have revolutionized statistical computing and have
had an especially profound impact on the practice of Bayesian
statistics. Furthermore, MCMC methods have enabled the development
and use of intricate models in an astonishing array of disciplines
as diverse as fisheries science and economics. The wide-ranging
practical importance of MCMC has sparked an expansive and deep
investigation into fundamental Markov chain theory. The Handbook of
Markov Chain Monte Carlo provides a reference for the broad
audience of developers and users of MCMC methodology interested in
keeping up with cutting-edge theory and applications. The first
half of the book covers MCMC foundations, methodology, and
algorithms. The second half considers the use of MCMC in a variety
of practical applications including in educational research,
astrophysics, brain imaging, ecology, and sociology. The in-depth
introductory section of the book allows graduate students and
practicing scientists new to MCMC to become thoroughly acquainted
with the basic theory, algorithms, and applications. The book
supplies detailed examples and case studies of realistic scientific
problems presenting the diversity of methods used by the
wide-ranging MCMC community. Those familiar with MCMC methods will
find this book a useful refresher of current theory and recent
developments.
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Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers (Paperback, 1st ed. 2022)
Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, …
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R2,464
Discovery Miles 24 640
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 9th CCF Conference on
Big Data, BigData 2021, held in Guangzhou, China, in January 2022.
Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.
The 21 full papers presented in this volume were carefully reviewed
and selected from 66 submissions. They present recent research on
theoretical and technical aspects on big data, as well as on
digital economy demands in big data applications.
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Deep Learning for Human Activity Recognition - Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings (Paperback, 1st ed. 2021)
Xiao-Li Li, Min Wu, Zhenghua Chen, Le Zhang
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes refereed proceedings of the Second
International Workshop on Deep Learning for Human Activity
Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI
2020, in Kyoto, Japan, in January 2021. Due to the COVID-19
pandemic the workshop was postponed to the year 2021 and held in a
virtual format. The 10 presented papers were thorougly reviewed and
included in the volume. They present recent research on
applications of human activity recognition for various areas such
as healthcare services, smart home applications, and more.
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Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers (Paperback, 1st ed. 2015)
Xiao-Li Li, Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, …
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R2,455
Discovery Miles 24 550
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings at PAKDD Workshops
2015, held in conjunction with PAKDD, the 19th Pacific-Asia
Conference on Knowledge Discovery and Data Mining in Ho Chi Minh
City, Vietnam, in May 2015. The 23 revised papers presented were
carefully reviewed and selected from 57 submissions. The workshops
affiliated with PAKDD 2015 include: Pattern Mining and Application
of Big Data (BigPMA), Quality Issues, Measures of Interestingness
and Evaluation of data mining models (QIMIE), Data Analytics for
Evidence-based Healthcare (DAEBH), Vietnamese Language and Speech
Processing (VLSP).
Want to improve your writing skills? This book offers you a
fantastic approach-easy to learn and to use-and with it, you can
improve your writing dramatically. This approach derives from
sociocultural theories, substantial first-hand data about EFL
learners' writing strategy use, and detailed and systematic
analysis; it consists of four interrelated categories, namely
artifact-mediated, community-mediated, rule-mediated, and
role-mediated strategies, and numerous subcategories. These
categories and subcategories, though by no means exhaustive,
highlight the dialectic relationship between context and cognitive
and the importance of mediating resources in writing strategy use.
Examples of how learners of different writing abilities use these
strategies in their writing activities are analyzed and discussed,
providing the reader with insights into efficient ways of using
writing strategies and enhancing writing abilities.
Methods for detecting protein-protein interactions (PPIs) have
given researchers a global picture of protein interactions on a
genomic scale. ""Biological Data Mining in Protein Interaction
Networks"" explains bioinformatic methods for predicting PPIs, as
well as data mining methods to mine or analyze various protein
interaction networks. A defining body of research within the field,
this book discovers underlying interaction mechanisms by studying
intra-molecular features that form the common denominator of
various PPIs.
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