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1–50 von 163 Ergebnissen
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    A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

    Freier Zugriff
    Sica, Francescopaolo / Calvanese, Francesco / Scarpa, Giuseppe et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    Adaptive Control Strategy Extracted from Dynamic Programming and Combined with Driving Pattern Recognition for SPHEB

    Lin, Xinyou / Li, Hailin | Springer Verlag | 2019
    Schlagwörter: Learning vector quantization

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A European Study to identify Key Operational Parameters for ATFM Routing Decisions

    Freier Zugriff
    Derra, Manuel / Lau, Alexander / Gollnick, Volker | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine Learning

    A human-centric machine learning based personalized route choice prediction in navigation systems

    Sun, Bingrong / Gong, Lin / Shim, Jisup et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Airspace Sector Redesign Based on Voronoi Diagrams

    Xue, Min | AIAA | 2009
    Schlagwörter: Machine Learning

    Algorithm for Detecting the Critical Elements of Airborne Radar Systems Based on Operational Analysis of Diagnostic Information Time Series

    Shevtsov, V. A. / Timoshenko, A. V. / Perlov, A. Yu. et al. | Springer Verlag | 2022
    Schlagwörter: machine learning

    Analysing the interactions between training dataset size, label noise and model performance in remote sensing data

    Freier Zugriff
    Gütter, Jonas Aaron / Niebling, Julia / Zhu, Xiao Xiang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Deep 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 automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks

    Wang, Dan / Wang, Canye / Wang, Yulong et al. | Springer Verlag | 2021
    Schlagwörter: Trajectory learning

    An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise

    Freier Zugriff
    Gütter, Jonas Aaron / Kruspe, Anna / Zhu, Xiao Xiang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Deep Learning

    Application of iterative learning control in tracking a Dubin’s path in parallel parking

    Panomruttanarug, Benjamas | Springer Verlag | 2017
    Schlagwörter: Iterative learning control

    Application of Physical Model Test-Based Long Short-Term Memory Algorithm as a Virtual Sensor for Nitrogen Oxide Prediction in Diesel Engines

    Shin, Dalho / Jo, Seongin / Kim, Hyung Jun et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Review of Optimal Energy Management Strategies Using Machine Learning Techniques for Hybrid Electric Vehicles

    Song, Changhee / Kim, Kiyoung / Sung, Donghwan et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Arm-Intent-Detection with Bio-Signals in Virtual Reality

    Freier Zugriff
    Iszatt, Justin | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: machine 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

    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Artificial intelligence for traffic signal control based solely on video images

    Jeon, Hyunjeong / Lee, Jincheol / Sohn, Keemin | Taylor & Francis Verlag | 2018
    Schlagwörter: deep learning , reinforcement learning (RL)

    Asynchronous n-step Q-learning adaptive traffic signal control

    Genders, Wade / Razavi, Saiedeh | Taylor & Francis Verlag | 2019
    Schlagwörter: reinforcement learning

    A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand

    Freier Zugriff
    Winkelbauer, Dominik / Bäuml, Berthold / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Automatic separation of laminar-turbulent flows on aircraft wings and stabilisers via adaptive attention butterfly network

    Freier Zugriff
    Kuzu, Ridvan Salih / Mühlmann, Philipp / Zhu, Xiao Xiang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Self-supervised Learning

    Autonomous Reconnaissance Trajectory Guidance at Small Near-Earth Asteroids via Reinforcement Learning

    Takahashi, Shota / Scheeres, Daniel J. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Bridging the Reality-Gap: 6-DoF Pose Estimation of Multiple Cars by a Deep CNN Trained on Synthetic Data

    Freier Zugriff
    Lorenz, Benjamin | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine Learning

    Chancen für die Zukunft durch Bildung

    Berufsbegleitende Fortbildung
    Hebding, Marion | IuD Bahn | 2005
    Schlagwörter: Betriebliches Lernen

    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

    Considerazioni sulla formazione mediante simulatori di condotta

    Capaccioli, Tanya | IuD Bahn | 2006
    Schlagwörter: Betriebliches Lernen

    Coordinated Orbit–Attitude–Vibration Control of a Sun-Facing Solar Power Satellite

    Li, Qingjun / Deng, Zichen | AIAA | 2019
    Schlagwörter: Iterative Learning Control

    Crash Rate Estimation by Aerial Image Analysis

    Freier Zugriff
    Kornfeld, Nils / Lücken, Leonhard / Leich, Andreas et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: Machine Learning , Deep Learning

    DCFS-Based Online Driving Preferences Learning Approach with Application to Personalized Lane Keeping Controller Design

    Chen, Jin / Sun, Dihua / Zhao, Min et al. | Springer Verlag | 2021
    Schlagwörter: Online 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

    Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information

    Tang, Kun / Chen, Shuyan / Khattak, Aemal J. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer

    Freier Zugriff
    Tang, Qinrui / Jahan, Kanwal / Roth, Michael | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: deep learning , self-supervised learning

    Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs

    Freier Zugriff
    Briese, Christoph / Günther, Lukas | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Machine Learning

    Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Wang, Hao / Yuan, Yun / Yang, Xianfeng Terry et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning , Q-learning

    Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation

    Notter, Stefan / Gall, Christian / Müller, Gregor et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

    El-Tantawy, Samah / Abdulhai, Baher / Abdelgawad, Hossam | Taylor & Francis Verlag | 2014
    Schlagwörter: Reinforcement Learning , Temporal Difference Learning

    Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

    Stocker, Markus / Silvonen, Paula / Rönkkö, Mauno et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: Machine Learning

    Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods

    Park, Jeong Jun / Lee, Sangyul / Shin, Seunghyup et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process

    Cho, Donghyuk / Lee, Youngseog | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

    Yuksel, A. S. / Atmaca, S. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Driving cycle recognition neural network algorithm based on the sliding time window for hybrid electric vehicles

    Wang, J. / Wang, Q. N. / Zeng, X. H. et al. | Springer Verlag | 2015
    Schlagwörter: Learning vector quantization

    Drowsy behavior detection based on driving information

    Wang, M. S. / Jeong, N. T. / Kim, K. S. et al. | Springer Verlag | 2016
    Schlagwörter: Ensemble machine learning method

    Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design

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

    EGR Prediction of Diesel Engines in Steady-State Conditions Using Deep Learning Method

    Lee, Sangyul / Lee, Yongjoo / Lee, Youngbok et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Electric vehicle charging demand forecasting using deep learning model

    Yi, Zhiyan / Liu, Xiaoyue Cathy / Wei, Ran et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning