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Lecture Notes In Computer Science

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7 documents available in our comprehensive collection of Lecture Notes In Computer Science resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Best Student Paper Award
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Best Student Paper Award (bfm978-3-319-23219-51.pdf)

190 KBEN 21 pages
Lecture Notes in Computer Science 9255, Proceedings of the 21st International Conference on Principles and Practice of Constraint Programming (CP 2015), held
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Preview of Consult the full text
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Consult the full text (IFIPLNCS10595DL_2017_BookFrontmatter.pdf)

203 KBArpan Kumar KarEN 19 pages
Lecture Notes in Computer Science, volume 10595, presents proceedings of the 16th IFIP Conference on e-Business, e-Services, and e-Society (I3E 2017), held in
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Preview of Jugend auf der Straße
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Jugend auf der Straße (f-22359.pdf)

236 KBEN 4 pages
A complex mathematical expression containing variables, operators, and special characters, likely representing a formula or equation
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Preview of Planification annuelle 2016-2017 pour les élèves de 6e année à l'école Au Trésor-du-Boisé.
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Planification annuelle 2016-2017 pour les élèves de 6e année à l'école Au Trésor-du-Boisé. (Planification-annuelle-6e-anne2016-2017.pdf)

563 KBAlarMa2FR 5 pages
Les parents reçoivent des informations sur les évaluations et le suivi des apprentissages de leur enfant à l'école Au Trésor-du-Boisé, avec des communications écrites et des bulletins trimestriels
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Preview of Krzysztof Penderecki: Threnody for the Victims of Hiroshima (1960)
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Krzysztof Penderecki: Threnody for the Victims of Hiroshima (1960) (penderecki.pdf)

208 KBSarah WallinEN 7 pages
Krzysztof Penderecki was born on November 23, 1933, in Debica, Poland, and studied composition privately and at the State Higher School of Music in Kraków
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ink> (1MA178_5e_NoiseFigure.pdf)

907 KBSpandri Mattia Mose GF-MIEN 30 pages
This application note explains the Y Factor technique for measuring noise figure in RF components
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Preview of Deep Learning for Comm & Radar ID
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Deep Learning for Comm & Radar ID (deep-learning-for-comms-and-radar-white-paper.pdf)

3.05 MBEN 16 pages
Leveraging synthesized data for deep learning in communications and radar, enabling modulation ID and target classification
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