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  • machine learning
  • KIT Scientific Publishing  (13)
  • German  (8)
  • English  (5)
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  • German  (8)
  • English  (5)
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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
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    KIT Scientific Publishing | KIT Scientific Publishing
    Publication Date: 2024-04-11
    Description: Although laser cutting of metals is a well-established process, there is considerable potential for improvement with regard to various requirements for the manufacturing industry. First, this potential is identified and then it is shown how improvements could be made using machine learning. For this purpose, a database was generated. It contains the process parameters, RGB images, 3D point clouds and various quality features of almost 4000 cut edges.
    Keywords: cut quality ; convolutional neural network ; machine learning ; stainless steel ; Laser cutting ; Schnittqualität ; Maschinelles Lernen ; Edelstahl ; Laserschneiden ; Faltendes neuronales Netz ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
    Language: German
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  • 3
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    KIT Scientific Publishing | KIT Scientific Publishing
    Publication Date: 2024-04-11
    Description: In this work, modular damage reduction assistance systems are investigated. Identification modules provide information about the current driving and working state, the machine operator, the bulk material mass and system parameters. Damage modules with complexity reduced calculation approaches allow a quantification of the machine damage. Possible applications and the potential of the assistance systems are demonstrated in a model-based development environment.
    Keywords: Assistenzsysteme ; Schädigungsreduktion ; Machine Learning ; Modellbasierte Entwicklung ; Radlader ; assistance systems ; damage reduction ; machine learning ; model-based development ; wheel loader ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
    Language: German
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  • 4
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    KIT Scientific Publishing | KIT Scientific Publishing
    Publication Date: 2024-04-11
    Description: Image processing combines the disciplines of cameras – image-based sensors – with the processing of the sensor data – the images. From this follows the particular attraction of this field. The conference proceedings at hand of the “Image Processing Forum”, which took place on 24.-25.11.2022 in Karlsruhe as a common event of the Karlsruhe Institute of Technology and the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, contain the articles of the contributions.
    Keywords: Bildverarbeitung ; automatische Sichtprüfung ; maschinelles Lernen ; bildgestützte Messtechnik ; image processing ; automated visual inspection ; machine learning ; image-based measurement technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
    Language: German
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  • 5
    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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  • 6
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    KIT Scientific Publishing | KIT Scientific Publishing
    Publication Date: 2024-04-11
    Description: Image processing plays a key role for fast and contact-free data acquisition in many technical areas, e.g., in quality control or robotics. These conference proceedings of the “Forum Bildverarbeitung”, which took place on 26.-27.11.202 in Karlsruhe as a common event of the Karlsruhe Institute of Technology and the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, contain the articles of the contributions.
    Keywords: machine learning ; Bildverarbeitung ; automatische Sichtprüfung ; bildgestützte Messtechnik ; maschinelles Lernen ; Image processing ; automated visual inspection ; image based measurement technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
    Language: German
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  • 7
    Publication Date: 2024-04-09
    Description: Innovative electric propulsion systems are increasingly applied to off-highway machines, to gain efficiency optimization of the work process. This book focuses on the aspect of work process optimization and achieves forward-looking results through the use of intelligent, adaptive overall machine management.
    Keywords: T1-995 ; Elektrische Antriebssysteme ; Maschinelles Lernen ; off-highway machines ; data mining ; Data Mining ; Künstliche Intelligenz ; machine learning ; Deep Learning ; artificial intelligence ; deep learning ; Electric propulsion systems ; Intelligentes Gesamtmaschinenmanagement ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: German
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  • 8
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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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  • 9
    Publication Date: 2023-12-21
    Description: A concept for time-related forecasts of lane change maneuvers in highway scenarios is presented within the present work. Automated driving systems rely on understanding the driving environment to fulfill their driving task transparently and safely. This involves the perception of the driving environment as well as its interpretation to detect and predict driving maneuvers of road users.
    Keywords: T1-995 ; Fahrstreifenwechsel ; Automatisches Fahren ; Maschinelles Lernen ; dynamic Bayesian networks ; Dynamische Bayes'sche Netzwerke ; lane change ; machine learning ; automated driving ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: German
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  • 10
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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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