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This book focuses on the control and state estimation problems for
dynamical network systems with complex samplings subject to various
network-induced phenomena. It includes a series of control and
state estimation problems tackled under the passive sampling
fashion. Further, it explains the effects from the active sampling
fashion, i.e., event-based sampling is examined on the
control/estimation performance, and novel design technologies are
proposed for controllers/estimators. Simulation results are
provided for better understanding of the proposed control/filtering
methods. By drawing on a variety of theories and methodologies such
as Lyapunov function, linear matrix inequalities, and Kalman
theory, sufficient conditions are derived for guaranteeing the
existence of the desired controllers and estimators, which are
parameterized according to certain matrix inequalities or recursive
matrix equations. Covers recent advances of control and state
estimation for dynamical network systems with complex samplings
from the engineering perspective Systematically introduces the
complex sampling concept, methods, and application for the control
and state estimation Presents unified framework for control and
state estimation problems of dynamical network systems with complex
samplings Exploits a set of the latest techniques such as linear
matrix inequality approach, Vandermonde matrix approach, and trace
derivation approach Explains event-triggered multi-rate fusion
estimator, resilient distributed sampled-data estimator with
predetermined specifications This book is aimed at researchers,
professionals, and graduate students in control engineering and
signal processing.
This book summarizes the progress made to functional immobilize G
protein-coupled receptors (GPCRs) through site-specific or
orientated recognition in both non-covalent and covalent manners.
The last decade is the dawn of the "post-structural biology" era
for G protein-coupled receptor research. As an emerging approach
for state-of-the-art immobilization, this book discusses efforts to
explore the elegance of naturally-occurring biochemical reactions
by using their high specificity and robust reactivity in the
complex system, such as site-specific conjugation by covalent
recognition between enzymes and their substrates. With the
perspective of protein-drug interactions, this book also reviews
the applications of protein immobilization, with an emphasis on G
protein-coupled receptors, in drug discovery and protein-ligand
interaction analysis. In addition, the merits, opportunities and
disadvantages are analyzed for different immobilization methods,
and a perspective for future directions is presented. Given its
scope, this book appeals to a broad readership, particularly
researchers engaged in the field of analytical chemistry,
bioconjugate chemistry, and chemical biology, and other related
field, as well as teachers of relevant majors in colleges and
universities.
The goal of this book is to improve the ability of enterprises to
implement the green growth model and value chain reconstruction.
China's environmental development strategies, such as carbon peak
emission and carbon neutrality, have created new challenges and
requirements for enterprises to "go green." In addition,
anti-globalization and the complex dynamic uncertainty caused by
COVID-19 have changed the operational environment that enterprises
face. The application of new technologies, including the new
generation of information technologies and the whole process
management technology, provides solutions for the implementation of
enterprises' green growth model and value chain reconstruction.
Based on China's enterprise management cases, this book reveals the
connotative features of enterprises' green growth model and their
evolutionary regularities, the overall framework and decision
optimization of value chain reconstruction under the green growth
model, and the approach to implementing the green growth model and
value chain reconstruction. The theoretical framework of the green
growth model and value chain reconstruction established in this
book has enriched and developed the research results in this field.
Cases of enterprises implementing the green growth model can
provide references for the green transformation of enterprises and
help enterprises appreciate the synergy between sustainability and
growth. This book can also serve as a research reference for
scholars engaged in the field of sustainable operations, as well as
decision-makers and managers of relevant government departments.
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
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R1,710
Discovery Miles 17 100
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Ships in 10 - 15 working days
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The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
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R1,729
Discovery Miles 17 290
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Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
|
R1,841
Discovery Miles 18 410
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Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
|
R1,724
Discovery Miles 17 240
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
|
R1,711
Discovery Miles 17 110
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
|
R1,719
Discovery Miles 17 190
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
|
R3,132
Discovery Miles 31 320
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II (Paperback, 1st ed. 2022)
Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
|
R1,719
Discovery Miles 17 190
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436,
13437, and 13438 constitutes the refereed proceedings of the 25th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2022, which was held in
Singapore in September 2022. The 574 revised full papers presented
were carefully reviewed and selected from 1831 submissions in a
double-blind review process. The papers are organized in the
following topical sections: Part I: Brain development and atlases;
DWI and tractography; functional brain networks; neuroimaging;
heart and lung imaging; dermatology; Part II: Computational
(integrative) pathology; computational anatomy and physiology;
ophthalmology; fetal imaging; Part III: Breast imaging;
colonoscopy; computer aided diagnosis; Part IV: Microscopic image
analysis; positron emission tomography; ultrasound imaging; video
data analysis; image segmentation I; Part V: Image segmentation II;
integration of imaging with non-imaging biomarkers; Part VI: Image
registration; image reconstruction; Part VII: Image-Guided
interventions and surgery; outcome and disease prediction; surgical
data science; surgical planning and simulation; machine learning -
domain adaptation and generalization; Part VIII: Machine learning -
weakly-supervised learning; machine learning - model
interpretation; machine learning - uncertainty; machine learning
theory and methodologies.
Pioneering reference book providing the latest developments and
experimental results of aqueous zinc ion batteries Aqueous Zinc Ion
Batteries comprehensively reviews latest advances in aqueous zinc
ion batteries and clarifies the relationships between issues and
solutions for the emerging battery technology. Starting with the
history, the text covers essentials of each component of aqueous
zinc ion batteries, including cathodes, anodes, and electrolytes,
helping readers quickly attain a foundational understanding of the
subject. Written by three highly qualified authors with significant
experience in the field, Aqueous Zinc Ion Batteries provides
in-depth coverage of sample topics such as: History, main
challenges, and zinc metal anodes for aqueous zinc ion batteries
Electrochemical reaction mechanism of aqueous zinc ion batteries
and interfacial plating and stripping on zinc anodes Cathode
materials for aqueous zinc ion batteries, covering manganese-based
materials, vanadium-based materials, Prussian blue analogs, and
other cathode materials Development of electrolytes, issues, and
corresponding solutions for aqueous zinc ion batteries Separators
for aqueous zinc ion batteries, development of full zinc ion
batteries, and future perspectives on the technology A detailed
resource on a promising alternative to current lithium-ion battery
systems, Aqueous Zinc Ion Batteries is an essential read for
materials scientists, electrochemists, inorganic chemists, surface
chemists, catalytic chemists, and surface physicists who want to be
on the cutting edge of a promising new type of battery technology.
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Service-Oriented Computing - ICSOC 2016 Workshops - ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10-13, 2016, Revised Selected Papers (Paperback, 1st ed. 2017)
Khalil Drira, Hongbing Wang, Qi Yu, Yan Wang, Yuhong Yan, …
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R2,232
Discovery Miles 22 320
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Ships in 10 - 15 working days
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This book constitutes the revised selected papers of the scientific
satellite events that were held in conjunction with the 14th
International Conference on Service-Oriented Computing, ICSOC 2016,
held in Banff, AB, Canada, in October 2016. The ICSOC 2016 workshop
track consisted of three workshops on a wide range of topics that
fall into the general area of service computing: ASOCA 2016: The
rst Workshop on Adaptive Service-oriented and Cloud Applications
ISyCC 2016: The rst Workshop on IoT Systems Provisioning &
Management in Cloud Computing BSCI 2016: The Second International
Workshop on Big Data Services and Computational Intelligence
The number of worldwide VoIP customers is well over 38 million.
Thanks to the popularity of inexpensive, high-quality services,
it's projected to increase to nearly 250 million within the next
three years. The VoIP Handbook: Applications, Technologies,
Reliability, and Security captures the state of the art in VoIP
technology and serves as the comprehensive reference on this
soon-to-be ubiquitous technology. It provides: A step-by-step
methodology to evaluate VoIP performance prior to network
implementation An invaluable overview of implementation challenges
and several VoIP multipoint conference systems Unparalleled
coverage of design and engineering issues such VoIP traffic, QoS
requirements, and VoIP flow As this promising technology's
popularity increases, new demands for improved quality, reduced
cost, and seamless operation will continue to increase. Edited by
preeminent wireless communications experts Ahson and Illyas, the
VoIP Handbook guides you to successful deployment.
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