Signal Processing, Sensor Fusion, and Target Recognition XII
Author: Ivan Kadar
Publisher: SPIE-International Society for Optical Engineering
Published: 2003
Total Pages: 0
ISBN-13: 9780819449566
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Author: Ivan Kadar
Publisher: SPIE-International Society for Optical Engineering
Published: 2003
Total Pages: 0
ISBN-13: 9780819449566
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1998
Total Pages: 548
ISBN-13:
DOWNLOAD EBOOKAuthor: Ivan Kadar
Publisher:
Published: 1999
Total Pages: 496
ISBN-13:
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Publisher:
Published: 1993
Total Pages: 426
ISBN-13:
DOWNLOAD EBOOKAuthor: Ivan Kadar
Publisher: SPIE-International Society for Optical Engineering
Published: 2004
Total Pages: 0
ISBN-13: 9780819453525
DOWNLOAD EBOOKIncludes Proceedings Vol. 7821
Author: Vibeke Libby
Publisher:
Published: 1992
Total Pages: 453
ISBN-13:
DOWNLOAD EBOOKAuthor: Ivan Kadar
Publisher:
Published: 1997
Total Pages: 600
ISBN-13:
DOWNLOAD EBOOKAuthor: Ivan Kadar
Publisher:
Published: 1993
Total Pages: 426
ISBN-13: 9780819411914
DOWNLOAD EBOOKAuthor: Qingsheng Zhu
Publisher: World Scientific
Published: 2005-10-07
Total Pages: 1009
ISBN-13: 9814479136
DOWNLOAD EBOOKThis book presents the latest techniques, algorithms, research accomplishments and trend in computer science and engineering. It collects together 222 peer reviewed papers presented at the 11th Joint International Computer Conference. The theme of this year is “IT: Intellectual Capital for the Betterment of Human Life”. The articles in this book cover a wide range of active and interesting areas such as Digital Entertainment, Grid Computing, Embedded System, Web Service and Knowledge Engineering. This book serves as a good reference not only for researchers but also for graduate students in corresponding fields.The proceedings have been selected for coverage in:•Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)•CC Proceedings — Engineering & Physical Sciences
Author: Ioannis Kyriakides
Publisher: Springer Nature
Published: 2022-05-31
Total Pages: 57
ISBN-13: 3031015282
DOWNLOAD EBOOKThe adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.