
About this book series
This book series provides a forum to systematically summarize recent developments, discoveries and progress on multi-sensor, multi-source/multi-level data and information fusion along with its connection to data-enabled science. Emphasis is also placed on fundamental theories, algorithms and real-world applications of massive data as well as information processing, analysis, fusion and knowledge generation.
The aim of this book series is to provide the most up-to-date research results and tutorial materials on current topics in this growing field as well as to stimulate further research interest by transmitting the knowledge to the next generation of scientists and engineers in the corresponding fields. The target audiences are graduate students, academic scientists as well as researchers in industry and government, related to computational sciences and engineering, complex systems and artificial intelligence. Formats suitable for the series are contributed volumes, monographs and lecture notes.
- Electronic ISSN
- 2510-1536
- Print ISSN
- 2510-1528
- Series Editor
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- Henry Leung
Book titles in this series
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Predictive Maintenance in Smart Factories
Architectures, Methodologies, and Use-cases
- Editors:
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- Tania Cerquitelli
- Nikolaos Nikolakis
- Niamh O’Mahony
- Enrico Macii
- Copyright: 2021
Available Renditions
- Hard cover
- Soft cover
- eBook
-
Feature Learning and Understanding
Algorithms and Applications
- Authors:
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- Haitao Zhao
- Zhihui Lai
- Henry Leung
- Xianyi Zhang
- Copyright: 2020
Available Renditions
- Hard cover
- Soft cover
- eBook
-
Data Analytics for Drilling Engineering
Theory, Algorithms, Experiments, Software
- Authors:
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- Qilong Xue
- Copyright: 2020
Available Renditions
- Hard cover
- Soft cover
- eBook
-
Possibility Theory for the Design of Information Fusion Systems
- Authors:
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- Basel Solaiman
- Éloi Bossé
- Copyright: 2019
Available Renditions
- Hard cover
- Soft cover
- eBook