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    GIL
    2016
    49views Security Privacy» more  GIL 2016»
    Automatisierte, teilzeitenspezifische Analyse von Maschinendaten am Beispiel der Bodenbearbeitung
    8 years 8 months ago
    Automatisierte, teilzeitenspezifische Analyse von Maschinendaten am Beispiel der Bodenbearbeitung
    Download  subs.emis.de
    : Operation profiles are used for machine design and testing by representing the demands that lead to a certain machine load. Due to the complexity of machine and implement use the...
    Dietrich Kortenbruck, Hans W. Griepentrog
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    GIL
    2016
    46views Security Privacy» more  GIL 2016»
    Automatische Detektion von Trockenstress bei Tabakpflanzen mittels Machine-Learning-Verfahren
    8 years 8 months ago
    Automatische Detektion von Trockenstress bei Tabakpflanzen mittels Machine-Learning-Verfahren
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    Abstract: Dieser Beitrag befasst sich mit der Klassifikation der Vitalität von Pflanzen durch Machine-Learning-Verfahren am Beispiel von Trockenstress bei Tabak (Nicotiana tabacum...
    Michael Siebers, Franz Uhrmann, Oliver Scholz, Chr...
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    GIL
    2016
    61views Security Privacy» more  GIL 2016»
    Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte
    8 years 8 months ago
    Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte
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    Abstract: Unser Ansatz zur Umfelderkennung in der Ernte basiert auf den Arbeiten zu Evidenzkarten von Elfes und Moravec. In einfacher Form kommen Evidenzkarten als „Occupancy Gri...
    Timo Korthals, Andreas Skiba, Thilo Krause, Thorst...
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    GIL
    2016
    79views Security Privacy» more  GIL 2016»
    Roundwood Tracking using Log End Biometrics
    8 years 8 months ago
    Roundwood Tracking using Log End Biometrics
    Download  wavelab.at
    : Log end biometrics is a physically marking free approach to establish log traceability from forest-site to further-processing companies. Within an Austrian research project quest...
    Rudolf Schraml, Johann Charwat-Pessler, Karl Entac...
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    CODASPY
    2016
    44views Security Privacy» more  CODASPY 2016»
    Scalable and Secure Logistic Regression via Homomorphic Encryption
    8 years 8 months ago
    Scalable and Secure Logistic Regression via Homomorphic Encryption
    Download  eprint.iacr.org
    Logistic regression is a powerful machine learning tool to classify data. When dealing with sensitive data such as private or medical information, cares are necessary. In this pape...
    Yoshinori Aono, Takuya Hayashi 0001, Le Trieu Phon...
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    CODASPY
    2016
    55views Security Privacy» more  CODASPY 2016»
    Building Privacy-Preserving Cryptographic Credentials from Federated Online Identities
    8 years 8 months ago
    Building Privacy-Preserving Cryptographic Credentials from Federated Online Identities
    Download  www.cs.yale.edu
    Federated identity providers, e.g., Facebook and PayPal, offer a convenient means for authenticating users to third-party applications. Unfortunately such cross-site authenticatio...
    John Maheswaran, Daniel Jackowitz, Ennan Zhai, Dav...
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    CODASPY
    2016
    67views Security Privacy» more  CODASPY 2016»
    Toward Large-Scale Vulnerability Discovery using Machine Learning
    8 years 8 months ago
    Toward Large-Scale Vulnerability Discovery using Machine Learning
    Download  www.vdiscover.org
    With sustained growth of software complexity, finding security vulnerabilities in operating systems has become an important necessity. Nowadays, OS are shipped with thousands of ...
    Gustavo Grieco, Guillermo Luis Grinblat, Lucas C. ...
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    CODASPY
    2016
    55views Security Privacy» more  CODASPY 2016»
    Risk-based Analysis of Business Process Executions
    8 years 8 months ago
    Risk-based Analysis of Business Process Executions
    Download  security1.win.tue.nl
    Organizations need to monitor their business processes to ensure that what actually happens in the system is compliant with the prescribed behavior. Deviations from the prescribed...
    Mahdi Alizadeh, Nicola Zannone
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    CODASPY
    2016
    63views Security Privacy» more  CODASPY 2016»
    HoneyMix: Toward SDN-based Intelligent Honeynet
    8 years 8 months ago
    HoneyMix: Toward SDN-based Intelligent Honeynet
    Download  sefcom.asu.edu
    Honeynet is a collection of honeypots that are set up to attract as many attackers as possible to learn about their patterns, tactics, and behaviors. However, existing honeypots s...
    Wonkyu Han, Ziming Zhao, Adam Doupé, Gail-J...
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    CODASPY
    2016
    46views Security Privacy» more  CODASPY 2016»
    Neuralyzer: Flexible Expiration Times for the Revocation of Online Data
    8 years 8 months ago
    Neuralyzer: Flexible Expiration Times for the Revocation of Online Data
    Download  www.sec.in.tum.de
    Once data is released to the Internet, there is little hope to successfully delete it, as it may have been duplicated, reposted, and archived in multiple places. This poses a sign...
    Apostolis Zarras, Katharina Kohls, Markus Dür...
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