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  • machine learning
  • KIT Scientific Publishing  (5)
  • Taylor & Francis  (1)
  • English  (6)
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  • 1
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    KIT Scientific Publishing | KIT Scientific Publishing
    Publication Date: 2024-04-14
    Description: In 2020, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the KIT was hosted at the IOSB in Karlsruhe. For a week from the 27th to the 31st July the doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book.
    Keywords: KI ; maschinelles Lernen ; computer vision ; usage control ; Metrologie ; machine learning ; metrology ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
    Language: English
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  • 2
    Publication Date: 2024-04-11
    Description: The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Detailed multiscale models were used to study the effect of structural remodeling induced at the cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to characterize the substrate. Also, wave propagation direction was tracked from unannotated electrograms. In conclusion, in silico experiments provide insight into electrograms' information of the substrate.
    Keywords: Vorhofflimmern ; Fibrose ; maschinelles Lernen ; Bidomain ; Modellierung des Herzens ; atrial fibrillation ; fibrosis ; machine learning ; bidomain ; cardiac modeling ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
    Language: English
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  • 3
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    KIT Scientific Publishing | KIT Scientific Publishing
    Publication Date: 2024-03-30
    Description: In 2019 again, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the Karlsruhe Institute of Technology took place. The doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book in the form of technical reports.
    Keywords: usage control ; network security ; metrology ; machine vision ; machine learning ; Usage Control ; Netzwerksicherheit ; Messtechnik ; Machine Vision ; Maschinelles Lernen
    Language: English
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  • 4
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    Taylor & Francis | Routledge
    Publication Date: 2024-03-29
    Description: This book examines new and challenging political aspects of cyber security and presents it as an issue defined by socio-technological uncertainty and political fragmentation. Structured along two broad themes and providing empirical examples for how socio-technical changes and political responses interact, the first part of the book looks at the current use of cyber space in conflictual settings, while the second focuses on political responses by state and non-state actors in an environment defined by uncertainties. Within this, it highlights four key debates that encapsulate the complexities and paradoxes of cyber security politics from a Western perspective – how much political influence states can achieve via cyber operations and what context factors condition the (limited) strategic utility of such operations; the role of emerging digital technologies and how the dynamics of the tech innovation process reinforce the fragmentation of the governance space; how states attempt to uphold stability in cyberspace and, more generally, in their strategic relations; and how the shared responsibility of state, economy, and society for cyber security continues to be re-negotiated in an increasingly trans-sectoral and transnational governance space. This book will be of much interest to students of cyber security, global governance, technology studies, and international relations.
    Keywords: artificial intelligence ; cyber-security ; machine learning ; socio-economic dynamics ; socio-technical developments ; thema EDItEUR::J Society and Social Sciences::JW Warfare and defence ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPS International relations ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPS International relations::JPSH Espionage and secret services ; thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKS Social welfare and social services::JKSW Emergency services::JKSW1 Police and security services ; thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides
    Language: English
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  • 5
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    KIT Scientific Publishing
    Publication Date: 2023-12-20
    Description: This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fully Bayesian approach for efficient RL in continuous-valued state and action spaces when no expert knowledge is available. PILCO takes model uncertainties consistently into account during long-term planning to reduce model bias. Second, we propose principled algorithms for robust filtering and smoothing in GP dynamic systems.
    Keywords: QA75.5-76.95 ; autonomous learning ; Gaussian processes ; control ; machine learning ; Bayesian inference ; bic Book Industry Communication::U Computing & information technology::UY Computer science
    Language: English
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  • 6
    Publication Date: 2023-07-05
    Description: This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences.
    Keywords: QA75.5-76.95 ; computer vision ; machine learning ; scene understanding
    Language: English
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