Overview
- Contains seven detailed papers, three of which are extended versions of the best papers selected from ACSS 2017
- Covers diverse applicational areas of signal processing and security in distributed systems
- Topics range from heterogeneous face recognition to minimizing aliasing effects on text images
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10730)
Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(7 chapters)
About this book
This, the 31st issue of the Transactions on Computational Science, focusses on signal processing and security in distributed systems. The areas of application include facial recognition, musical analysis, the diagnosis of retinal disorder, quantum circuits, intrusion detection, information leakage analysis, and the minimization of aliasing effects on text images.
Editors and Affiliations
-
University of Calgary, Calgary, Canada
Marina L. Gavrilova
-
Sardina Systems OÜ, Tallinn, Estonia
C.J. Kenneth Tan
-
University of Calcutta, Calcutta, India
Nabendu Chaki
-
Bialystok University of Technology, Bialystok, Poland
Khalid Saeed
Bibliographic Information
Book Title: Transactions on Computational Science XXXI
Book Subtitle: Special Issue on Signal Processing and Security in Distributed Systems
Editors: Marina L. Gavrilova, C.J. Kenneth Tan, Nabendu Chaki, Khalid Saeed
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-56499-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany 2018
Softcover ISBN: 978-3-662-56498-1Published: 02 February 2018
eBook ISBN: 978-3-662-56499-8Published: 28 January 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 155
Number of Illustrations: 44 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Software Engineering