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210512 ||| eng |
020 |
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|a 9783902613523
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020 |
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|a 102
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020 |
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|a 9789535158394
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100 |
1 |
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|a Milisavljevic, Nada
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245 |
0 |
0 |
|a Sensor and Data Fusion
|h Elektronische Ressource
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260 |
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|b IntechOpen
|c 2009
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300 |
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|a 1 electronic resource (438 p.)
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653 |
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|a Computer networking and communications / bicssc
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653 |
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|a Computer networking & communications
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700 |
1 |
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|a Milisavljevic, Nada
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
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|b DOAB
|a Directory of Open Access Books
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-sa/3.0/
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028 |
5 |
0 |
|a 10.5772/102
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/64713
|z DOAB: description of the publication
|
856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/3594/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
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082 |
0 |
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|a 380
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520 |
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|a Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sources/sensors, resulting in ameliorated overall system performance (improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand) with respect to separate sensors/sources. Different data fusion methods have been developed in order to optimize the overall system output in a variety of applications for which data fusion might be useful: security (humanitarian, military), medical diagnosis, environmental monitoring, remote sensing, robotics, etc.
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