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Automatische Sichtprüfung : Grundlagen, Methoden und Praxis der Bildgewinnung und Bildauswertung / / von Jürgen Beyerer, Fernando Puente León, Christian Frese
| Automatische Sichtprüfung : Grundlagen, Methoden und Praxis der Bildgewinnung und Bildauswertung / / von Jürgen Beyerer, Fernando Puente León, Christian Frese |
| Autore | Beyerer Jürgen |
| Edizione | [2nd ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016 |
| Descrizione fisica | 1 online resource (XXVIII, 973 S. 491 Abb., 260 Abb. in Farbe.) |
| Disciplina | 621.382 |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Optical data processing Robotics Automation Physical measurements Measurement Signal, Image and Speech Processing Image Processing and Computer Vision Robotics and Automation Measurement Science and Instrumentation |
| ISBN | 3-662-47786-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Teil I: Bildgewinnung -- Licht -- Optische Abbildung -- Radiometrie -- Farbe -- Sensoren zur Bildgewinnung -- Bildaufnahmeverfahren -- Teil II: Bildauswertung -- Bildsignale -- Vorverarbeitung und Bildverbesserung -- Bildrestauration -- Segmentierung -- Morphologische Bildverarbeitung -- Texturanalyse -- Detektion -- Multiskalenanalyse. |
| Record Nr. | UNINA-9910484842203321 |
Beyerer Jürgen
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2020 ; Berlin, Germany, March 12-13, 2020 / / editors, Jürgen Beyerer, Alexander Maier, Oliver Niggemann
| Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2020 ; Berlin, Germany, March 12-13, 2020 / / editors, Jürgen Beyerer, Alexander Maier, Oliver Niggemann |
| Autore | Beyerer Jürgen |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (VII, 130 p. 42 illus., 25 illus. in color.) |
| Disciplina | 621.38 |
| Collana | Technologies for Intelligent Automation |
| Soggetto topico | Machine learning |
| ISBN | 3-662-62746-9 |
| Classificazione | COM043000TEC007000TEC041000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial Example Attacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data. |
| Record Nr. | UNINA-9910433248603321 |
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Beyerer Jürgen
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018 / / edited by Jürgen Beyerer, Christian Kühnert, Oliver Niggemann
| Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018 / / edited by Jürgen Beyerer, Christian Kühnert, Oliver Niggemann |
| Autore | Beyerer Jürgen |
| Edizione | [First edition, 2019.] |
| Pubbl/distr/stampa | 2018 |
| Descrizione fisica | 1 online resource (VII, 136 pages) |
| Disciplina | 006.3 |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Computational intelligence
Computer engineering Computer networks Telecommunication Data mining Computational Intelligence Computer Engineering and Networks Communications Engineering, Networks Data Mining and Knowledge Discovery |
| ISBN |
9783662584859
3662584859 |
| Classificazione | COM021030COM043000TEC009000TEC041000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project -- Deduction of time-dependent machine tool characteristics by fuzzy-clustering -- Unsupervised Anomaly Detection in Production Lines -- A Random Forest Based Classifer for Error Prediction of Highly Individualized Products -- Web-based Machine Learning Platform for Condition-Monitoring -- Selection and Application of Machine Learning-Algorithms in Production Quality -- Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data -- GPU GEMM-Kernel Autotuning for scalable machine learners -- Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria -- A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance -- Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality -- Enabling Self-Diagnosis of AutomationDevices through Industrial Analytics -- Making Industrial Analytics work for Factory Automation Applications -- Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems -- LoRaWan for Smarter Management of Water Network: From metering to data analysis. |
| Record Nr. | UNINA-9910372753003321 |
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Beyerer Jürgen
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| 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Vision : Automated Visual Inspection: Theory, Practice and Applications / / by Jürgen Beyerer, Fernando Puente León, Christian Frese
| Machine Vision : Automated Visual Inspection: Theory, Practice and Applications / / by Jürgen Beyerer, Fernando Puente León, Christian Frese |
| Autore | Beyerer Jürgen |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (802 p.) |
| Disciplina | 620 |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Optical data processing Robotics Automation Physical measurements Measurement Signal, Image and Speech Processing Image Processing and Computer Vision Robotics and Automation Measurement Science and Instrumentation |
| ISBN | 3-662-47794-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I Image Acquisition: Light -- Optical Imaging -- Radiometry -- Color -- Sensors for Image Acquisition -- Methods for Image Acquisition -- Part II Image Processing: Image Signals -- Preprocessing and Image Enhancement -- Image Restoration -- Segmentation -- Morphological Image Processing -- Texture Analysis -- Detection -- Image Pyramids, Wavelet Transform and Multiresolution Analysis -- Mathematical Foundations -- The Fourier Transform. |
| Record Nr. | UNINA-9910254194503321 |
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Beyerer Jürgen
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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OCM 2021 - Optical Characterization of Materials : Conference Proceedings
| OCM 2021 - Optical Characterization of Materials : Conference Proceedings |
| Autore | Beyerer Jürgen |
| Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2021 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto topico | Electrical engineering |
| Soggetto non controllato |
characterisation of materials
Charakterisierung von Materialien hyperspectral Hyperspektral multispectral image analysis multispektrale Bildanalyse recycling Recycling Röntgenmethoden X-ray methods |
| ISBN | 1000128686 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | OCM 2021 - Optical Characterization of Materials |
| Record Nr. | UNINA-9910476900803321 |
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Beyerer Jürgen
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| Karlsruhe, : KIT Scientific Publishing, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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OCM 2025 - 7th International Conference on Optical Characterization of Materials
| OCM 2025 - 7th International Conference on Optical Characterization of Materials |
| Autore | Beyerer Jürgen |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2025 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910999660203321 |
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Beyerer Jürgen
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| KIT Scientific Publishing, 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
| Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory |
| Autore | Beyerer Jürgen |
| Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2020 |
| Descrizione fisica | 1 online resource (170 p.) |
| Collana | Karlsruher Schriften zur Anthropomatik |
| Soggetto topico | Family law: children |
| Soggetto non controllato |
machine learning
machine vision Machine Vision Maschinelles Lernen Messtechnik metrology network security Netzwerksicherheit usage control Usage Control |
| ISBN | 1000118012 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910586567903321 |
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Beyerer Jürgen
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| Karlsruhe, : KIT Scientific Publishing, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
| Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory |
| Autore | Beyerer Jürgen |
| Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2021 |
| Descrizione fisica | 1 online resource (192 p.) |
| Collana | Karlsruher Schriften zur Anthropomatik |
| Soggetto topico | Maths for computer scientists |
| Soggetto non controllato |
computer vision
KI machine learning maschinelles Lernen Metrologie metrology usage control |
| ISBN | 1000130397 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910493737603321 |
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Beyerer Jürgen
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| Karlsruhe, : KIT Scientific Publishing, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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