Sensing, Modeling and Optimization of Cardiac Systems
A New Generation of Digital Twin for Heart Health Informatics
About this book series
SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic.
Typical publications can be:
A timely report of state-of-the art methods
A bridge between new research results, as published in journal articles
A snapshot of a hot or emerging topic
An in-depth case study
A presentation of core concepts that students must understand in order to make independent contributions
SpringerBriefs are characterized by fast, global electronic dissemination, standard publishing contracts, standardized manuscript preparation and formatting guidelines, and expedited production schedules.
The rapidly growing fields of Big Data, AI and
Machine Learning, together with emerging analytic theories and technologies,
have allowed us to gain comprehensive insights into both social and
transactional interactions in service value co-creation processes. The series SpringerBriefs
in Service Science is devoted to publications
that offer new perspectives on service research by showcasing service
transformations across various sectors of the digital economy. The research findings presented
will help service organizations address their service challenges in tomorrow’s service-oriented
economy.
- Electronic ISSN
- 2731-3751
- Print ISSN
- 2731-3743
- Series Editor
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- Robin Qiu
Book titles in this series
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Smart Digital Service Ecosystems
A Research Roadmap from Service Computing and Engineering Perspectives
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