Suchergebnisse - acm: c.: computer systems organisation/c.0: general/c.0.3: flare architectural*
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Weitere Verfasser:
Quelle: Bibliogr. przy rozdz.
Index.Schlagwörter: Sieci komputerowe, Komputery -- konferencje
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Quelle: Future Internet; Mar2014, Vol. 6 Issue 2, p302-336, 35p
Schlagwörter: SOFTWARE-defined networking, OPENFLOW (Computer network protocol), INTERNET protocols, COMPUTER-generated architectural design, ACCESS control
Firma/Körperschaft: INTERNET Engineering Task Force (Organization)
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Quelle: Journal of Functional Programming; 2019, Vol. 29, p1-31, 31p
Schlagwörter: COMPILERS (Computer programs), FUNCTIONAL programming (Computer science), ALGEBRA, DATA structures
Reviews & Products: GOOGLE Books (Web resource)
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Quelle: Information, Communication & Society; Dec2019, Vol. 22 Issue 13, p2007-2023, 17p
Schlagwörter: WEB design, ECONOMICS, MODERN society, WEBSITES, ARCHITECTURAL design
Firma/Körperschaft: AMAZON.COM Inc.
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Quelle: Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 20, p11533, 22p
Schlagwörter: BLOCKCHAINS, APPLICATION software, ACCESS control, SOFTWARE architecture, SCALABILITY
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Autoren: et al.
Quelle: ACM Computing Surveys; Aug2012, Vol. 44 Issue 4, p24:1-24:45, 45p, 5 Diagrams, 4 Charts
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Autoren: et al.
Quelle: Sensors (14248220); May2021, Vol. 21 Issue 10, p3417-3417, 1p
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Autoren: et al.
Quelle: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2/25/2015, Vol. 40-5/W4, p307-314, 8p
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Autoren: et al.
Quelle: Universe (2218-1997); May2025, Vol. 11 Issue 5, p135, 18p
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Quelle: Electronics (2079-9292); Nov2021, Vol. 10 Issue 22, p2874, 1p
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Autoren: et al.
Quelle: 2016 IEEE Congress on Evolutionary Computation (CEC); 2016, p4127-4134, 8p
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A flare removal network for night vision perception: Resistant to the interference of complex light.
Autoren: et al.
Quelle: IET Image Processing (Wiley-Blackwell); 10/16/2024, Vol. 18 Issue 12, p3192-3205, 14p
Schlagwörter: NIGHT vision, VISUAL perception, LIGHT sources, COGNITIVE interference, COMPUTER vision
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Autoren: et al.
Quelle: Mathematics (2227-7390); Sep2023, Vol. 11 Issue 17, p3644, 45p
Schlagwörter: IMAGE segmentation, OBJECT recognition (Computer vision), ARTIFICIAL vision, COMPUTER vision, LIGHT sources, CAMERAS, DRIVERLESS cars, AUTOMOBILE driving
Geografische Kategorien: CHICAGO (Ill.)
Firma/Körperschaft: KARLSRUHER Institut fur Technologie
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Quelle: Computer Graphics Forum; Dec2013, Vol. 32 Issue 4, p1-6, 6p, 5 Color Photographs, 1 Black and White Photograph, 4 Diagrams, 2 Charts
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Autoren: et al.
Quelle: International Journal of Computer Games Technology; 2009, p1-9, 9p, 2 Color Photographs, 2 Diagrams, 3 Charts
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Autoren: et al.
Quelle: Fundamental Approaches to Software Engineering (9783540712886); 2007, p398-411, 14p
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Autoren: et al.
Quelle: ACM Computing Surveys; Mar2021, Vol. 53 Issue 2, p1-40, 40p
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Quelle: MobiCom: International Conference on Mobile Computing & Networking; 2013, p3-8, 6p
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Quelle: MobiCom: International Conference on Mobile Computing & Networking; 2017, p127-140, 14p
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Quelle: Geophysical Research Abstracts; 2011, Vol. 13, p1-13047, 13047p
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