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KI 2010: Advances in Artificial Intelligence [[electronic resource] ] : 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings / / edited by Rüdiger Dillmann, Jürgen Beyerer, Uwe D. Hanebeck, Tanja Schultz
| KI 2010: Advances in Artificial Intelligence [[electronic resource] ] : 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings / / edited by Rüdiger Dillmann, Jürgen Beyerer, Uwe D. Hanebeck, Tanja Schultz |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XVI, 446 p. 150 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining User interfaces (Computer systems) Multimedia information systems Computer simulation Artificial Intelligence Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery User Interfaces and Human Computer Interaction Multimedia Information Systems Simulation and Modeling |
| ISBN |
1-280-38946-X
9786613567383 3-642-16111-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cognition -- Vision, Logic, and Language – Toward Analyzable Encompassing Systems -- A Computational Model of Human Movement Coordination -- BiosignalsStudio: A Flexible Framework for Biosignal Capturing and Processing -- Local Adaptive Extraction of References -- Logic-Based Trajectory Evaluation in Videos -- Human-Machine Interaction -- A Testbed for Adaptive Human-Robot Collaboration -- Human Head Pose Estimation Using Multi-appearance Features -- Online Full Body Human Motion Tracking Based on Dense Volumetric 3D Reconstructions from Multi Camera Setups -- On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms -- Planning Cooperative Motions of Cognitive Automobiles Using Tree Search Algorithms -- Static Preference Models for Options with Dynamic Extent -- Towards User Assistance for Documents via Interactional Semantic Technology -- Knowledge -- Flexible Concept-Based Argumentation in Dynamic Scenes -- Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception -- Multi-context Systems with Activation Rules -- Pellet-HeaRT – Proposal of an Architecture for Ontology Systems with Rules -- Putting People’s Common Sense into Knowledge Bases of Household Robots -- Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps -- Searching for Locomotion Patterns that Suffer from Imprecise Details -- World Modeling for Autonomous Systems -- Machine Learning and Data Mining -- A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs -- Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations -- Adaptive ?-Greedy Exploration in Reinforcement Learning Based on Value Differences -- Learning the Importance of Latent Topics to Discover Highly Influential News Items -- Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos -- Visualizing Dissimilarity Data Using Generative Topographic Mapping -- Planing and Reasoning -- An Empirical Comparison of Some Multiobjective Graph Search Algorithms -- Completeness for Generalized First-Order LTL -- Instantiating General Games Using Prolog or Dependency Graphs -- Plan Assessment for Autonomous Manufacturing as Bayesian Inference -- Positions, Regions, and Clusters: Strata of Granularity in Location Modelling -- Soft Evidential Update via Markov Chain Monte Carlo Inference -- Strongly Solving Fox-and-Geese on Multi-core CPU -- The Importance of Statistical Evidence for Focussed Bayesian Fusion -- The Shortest Path Problem Revisited: Optimal Routing for Electric Vehicles -- Robotics -- A Systematic Testing Approach for Autonomous Mobile Robots Using Domain-Specific Languages -- Collision Free Path Planning for Intrinsic Safety of Multi-fingered SDH-2 -- Dynamic Bayesian Networks for Learning Interactions between Assistive Robotic Walker and Human Users -- From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM -- Haptic Object Exploration Using Attention Cubes -- Task Planning for an Autonomous Service Robot -- Towards Automatic Manipulation Action Planning for Service Robots -- Towards Opportunistic Action Selection in Human-Robot Cooperation -- Trajectory Generation and Control for a High-DOF Articulated Robot with Dynamic Constraints -- Adaptive Motion Control: Dynamic Kick for a Humanoid Robot -- Special Session: Situation, Intention and Action Recognition -- An Extensible Modular Recognition Concept That Makes Activity Recognition Practical -- Online Workload Recognition from EEG Data during Cognitive Tests and Human-Machine Interaction -- Situation-Specific Intention Recognition for Human-Robot Cooperation -- Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic -- Towards Semantic Segmentation of Human Motion Sequences. |
| Record Nr. | UNISA-996465983003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
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 |
|
Beyerer Jürgen
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| 2018 | ||
| 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 2017 / / edited by Jürgen Beyerer, Alexander Maier, Oliver Niggemann
| Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2017 / / edited by Jürgen Beyerer, Alexander Maier, Oliver Niggemann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2020 |
| Descrizione fisica | 1 online resource (87 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Computational intelligence
Computer organization Electrical engineering Data mining Computational Intelligence Computer Systems Organization and Communication Networks Communications Engineering, Networks Data Mining and Knowledge Discovery |
| ISBN | 3-662-59084-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Prescriptive Maintenance of CPPS by Integrating Multi-modal Data with Dynamic Bayesian Networks -- Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors -- Differential Evolution in Production Process Optimization of Cyber Physical Systems -- Machine Learning for Process-X: A Taxonomy -- Intelligent edge processing -- Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems -- Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis -- Verstehen von Maschinenverhalten mit Hilfe von Machine Learning -- Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Recongurable Architectures -- The Acoustic Test System for Transmissions in the VW Group. |
| Record Nr. | UNINA-9910484573803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2020 | ||
| 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 2016 / / edited by Jürgen Beyerer, Oliver Niggemann, Christian Kühnert
| Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2016 / / edited by Jürgen Beyerer, Oliver Niggemann, Christian Kühnert |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (VII, 72 p. 24 illus., 19 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Computational intelligence
Data mining Knowledge management Computational Intelligence Data Mining and Knowledge Discovery Knowledge Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths -- Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection -- Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment -- A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms -- Cloud-based event detection platform for water distribution networks using machine-learning algorithms -- A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems -- Agent Swarm Optimization: Exploding the search space -- Anomaly Detection in Industrial Networks using Machine Learning. . |
| Record Nr. | UNINA-9910155297303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| 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 2015 / / edited by Oliver Niggemann, Jürgen Beyerer
| Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2015 / / edited by Oliver Niggemann, Jürgen Beyerer |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016 |
| Descrizione fisica | 1 online resource (124 p.) |
| Disciplina | 006.31 |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Computational intelligence
Data mining Knowledge management Computational Intelligence Data Mining and Knowledge Discovery Knowledge Management |
| ISBN | 3-662-48838-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Development of a Cyber-Physical System based on selective dynamic Gaussian naive Bayes model for a self-predict laser surface heat treatment process control -- Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks -- Forecasting Cellular Connectivity for Cyber- Physical Systems: A Machine Learning Approach -- Towards Optimized Machine Operations by Cloud Integrated Condition Estimation -- Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission -- Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases -- Towards a novel learning assistant for networked automation systems -- Effcient Image Processing System for an Industrial Machine Learning Task -- Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation -- Geo-Distributed Analytics for the Internet of Things -- Imple mentation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation -- Machine-specifc Approach for Automatic Classifcation of Cutting Process Efficiency -- Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems -- Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems. |
| Record Nr. | UNINA-9910253965803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 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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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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Proceedings of the 2024 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
| Proceedings of the 2024 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2025 |
| Altri autori (Persone) | BeyererJürgen |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911044010203321 |
| KIT Scientific Publishing, 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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