|
Showing 1 - 3 of
3 matches in All Departments
|
Dynamic Data Driven Applications Systems - Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings (Paperback, 1st ed. 2020)
Frederica Darema, Erik Blasch, Sai Ravela, Alex Aved
|
R1,582
Discovery Miles 15 820
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the Third
International Conference on Dynamic Data Driven Application
Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The
21 full papers and 14 short papers presented in this volume were
carefully reviewed and selected from 40 submissions. They cover
topics such as: digital twins; environment cognizant
adaptive-planning systems; energy systems; materials systems;
physics-based systems analysis; imaging methods and systems; and
learning systems.
This text reviews the fundamental theory and latest methods for
including contextual information in fusion process design and
implementation. Chapters are contributed by the foremost
international experts, spanning numerous developments and
applications. The book highlights high- and low-level information
fusion problems, performance evaluation under highly demanding
conditions, and design principles. A particular focus is placed on
approaches that integrate research from different communities,
emphasizing the benefit of combining different techniques to
overcome the limitations of a single perspective. Features:
introduces the terminology and core elements in information fusion
and context; presents key themes for context-enhanced information
fusion; discusses design issues in developing context-aware fusion
systems; provides mathematical grounds for modeling the contextual
influences in representative fusion problems; describes the fusion
of hard and soft data; reviews a diverse range of applications.
This book provides a complete overview of the state of the art in
color image fusion, the associated evaluation methods, and its
range of applications. It presents a comprehensive overview of
fusion metrics and a comparison of objective metrics and subjective
evaluations. Part I addresses the historical background and basic
concepts. Part II describes image fusion theory. Part III focuses
on quantitative and qualitative evaluation. Part IV presents
several fusion applications, including two primary multiscale
fusion approaches-the image pyramid and wavelet transform-as they
pertain to face matching, biomedical imaging, and night vision.
|
|