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51–100 von 577 Ergebnissen
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    Cluster-Based Flight Trajectory Outlier Detection

    Mikol Forney / Banavar Sridhar / Kenneth Freeman | NTRS
    Schlagwörter: Machine Learning

    Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms

    Freier Zugriff
    Niebling, Julia / Baasch, Benjamin / Kruspe, Anna | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Soziotechnisches Assistenzsystem zur lernförderlichen Arbeitsgestaltung in der robotergestützten Montage

    Freier Zugriff
    Albu-Schäffer, Alin Olimpiu / Huchler, Norbert / Kessler, Ingmar et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2023
    Schlagwörter: Arbeitsimmanentes Lernen

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Memory-based in situ learning for unmanned vehicles

    McDowell, P. / Bourgeois, B.S. / Sofge, D.A. et al. | Tema Archiv | 2006
    Schlagwörter: Lernen

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine

    AlRamadan, Abdullah S. / Mohan, Balaji / Badra, Jihad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning

    Freier Zugriff
    Kai, Zhang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Deep Learning

    L'agenda istruttore condotta elettronica (AGISCO)

    Lombardi, Daniela | IuD Bahn | 2007
    Schlagwörter: Betriebliches Lernen

    Microstructure Quantification With Deep Learning Encoders Pre-Trained on a Massive Microscopy Dataset

    Joshua Stuckner | NTRS
    Schlagwörter: machine learning , deep learning

    Lerntypen

    Mit einer typengerechten Gestaltung zum optimalen Lernerfolg
    Lex, Monika | IuD Bahn | 2007
    Schlagwörter: Betriebliches Lernen

    Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

    Xu, Ming / Wu, Jianping / Huang, Ling et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: deep reinforcement learning

    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Decision-making for Connected and Automated Vehicles in Chanllenging Traffic Conditions Using Imitation and Deep Reinforcement Learning

    Hu, Jinchao / Li, Xu / Hu, Weiming et al. | Springer Verlag | 2023
    Schlagwörter: Imitation learning , Deep reinforcement learning

    Review of intelligent detection and statistical methods of wild animals in UAV aerial photography

    Freier Zugriff
    ZHU Ninghua / ZHENG Jiangbin / ZHANG Yang | DOAJ | 2023
    Schlagwörter: deep learning , transfer learning

    Gaussian process regression for forecasting battery state of health

    Richardson, Robert R | Online Contents | 2017
    Schlagwörter: Machine Learning

    Reinforcement Learning for Engine Idle Speed Control

    Xue, Jinlin / Gao, Qiang / Ju, Weiping | Tema Archiv | 2010
    Schlagwörter: Lernen

    Generalization of human grasping for multi-fingered robot hands

    Freier Zugriff
    Ben Amor, Heni / Kroemer, Oliver / Hillenbrand, Ulrich et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2012
    Schlagwörter: learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTRS
    Schlagwörter: Machine Learning

    Quantum Artificial Intelligence and NASA

    Lucas T. Brady | NTRS
    Schlagwörter: Machine Learning

    Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM

    Freier Zugriff
    Hu, Xuke / Fan, Hongchao / Noskov, Alexey et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Machine learning

    A camera self-health-maintenance system based on sensor artificial intelligence

    Freier Zugriff
    Wischow, Maik / Gallego, Guillermo / Ernst, Ines et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Using Predictive Uncertainty for Cleaning Noisy Annotations

    Freier Zugriff
    Gütter, Jonas Aaron / Ulman, Hannah / Niebling, Julia | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Deep Learning

    Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes

    Freier Zugriff
    Lee, Jongseok / Feng, Jianxiang / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Bayesian Deep Learning

    Exploring Coanda Effect with 3 Cylinder Geometry

    Satvik Kumar | NTRS
    Schlagwörter: Machine Learning

    Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles

    Lv, Chen / Chen, Hao / He, Xiangkun | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement Learning

    Freier Zugriff
    SHU Lisheng / LI Guifang / JI Sheng | DOAJ | 2021
    Schlagwörter: reinforcement learning , q-learning algorithm

    THC Concentration Estimation Model using FTIR Spectrum

    Yabushita, Hirotaka / Nagaoka, Makoto / Yoshioka, Masaya et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Kennzahlen per Intranet

    Becker, Egbert | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Bridging the Gap between ISO 26262 and Machine Learning: A Survey of Techniques for Developing Confidence in Machine Learning Systems

    Joyce, Jeffrey / Serna, Jose / Millet, Laure et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

    Freier Zugriff
    LI Junsheng / YUE Longfei / ZUO Jialiang et al. | DOAJ | 2022
    Schlagwörter: deep learning , deep reinforcement learning

    Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2

    Freier Zugriff
    Pekezou Fouopi, Paulin / Sefati, Mohsen / Schilling, Michael | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2017
    Schlagwörter: Deep Learning

    Learning Drivers’ Behavior to Improve Adaptive Cruise Control

    Rosenfeld, Avi / Bareket, Zevi / Goldman, Claudia V. et al. | Taylor & Francis Verlag | 2015
    Schlagwörter: Machine Learning

    Generalization of optimal motion trajectories for a biped walking machine based on machine learning

    Freier Zugriff
    Trautmann, Dietrich | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2015
    Schlagwörter: Machine learning

    Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning

    Adiel Felsen / Julie Nicely / Bryan Duncan | NTRS
    Schlagwörter: machine learning

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Creating a Culture of Continuous Learning: Solutions for Patient Safety

    J. Holbrook | NTIS | 2021
    Schlagwörter: learning

    Refining action segmentation with hierarchical video representations

    Freier Zugriff
    Ahn, Hyemin / Lee, Dongheui | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Deep Learning

    Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification

    Telenko, Cassandra / Meroux, Dominique / Jiang, Zhen | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design

    Erikstad, Stein Ove / NTNU | Taylor & Francis Verlag | 2007
    Schlagwörter: learning

    Estimating Parameters of Governing Equations of Non-Linear Systems from Data Using Synchronisation and Machine Learning

    Freier Zugriff
    Prosperino, Davide | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Characterizing aircraft wake vortex position and strength using LiDAR measurements processed with artificial neural networks

    Freier Zugriff
    Wartha, Niklas Louis / Stephan, Anton / Holzäpfel, Frank et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control

    Gavra, Vlad / van Kampen, Erik-Jan | AIAA | 2024
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning

    Reinforcement learning-enabled genetic algorithm for school bus scheduling

    Köksal Ahmed, Eda / Li, Zengxiang / Veeravalli, Bharadwaj et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning