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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System = An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System/ edited by Sukhan Lee, Hanseok Ko, Songhwai Oh.
Reminder of title:	An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /
other author:	Lee, Sukhan.
Description:	VIII, 300 p. 142 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-90509-9
ISBN:	9783319905099

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System = An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /
Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical SystemAn Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /[electronic resource] :edited by Sukhan Lee, Hanseok Ko, Songhwai Oh. - 1st ed. 2018. - VIII, 300 p. 142 illus.online resource. - Lecture Notes in Electrical Engineering,5011876-1100 ;. - Lecture Notes in Electrical Engineering,317.

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

ISBN: 9783319905099

Standard No.: 10.1007/978-3-319-90509-9doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System = An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /
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