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201–250 von 1,094 Ergebnissen
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    Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles

    Wu, Guangqiang / Zhang, Xianhong / Li, Xiaoyun et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal

    Vaithiyanathan, Muralidharan / Durairaj, Pradeep Kumar | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Grundstudienprogramme und Weiterbildungstraining

    Tietgens, Hans | TIBKAT | 1979
    Schlagwörter: Lernen , Learning to Learn

    Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration

    Winward, Edward / Mohd Azmin, Farraen / Rutledge, John et al. | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Reward Function Design via Human Knowledge Graph and Inverse Reinforcement Learning for Intelligent Driving

    Guo, Rong / Xue, Xiang / Hong, Ze | SAE Technical Papers | 2021
    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

    Kennzahlen per Intranet

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

    Multisensorial self-learning systems for quality monitoring of carbon fiber composites in aircraft production

    Kuhl, M. / Wiener, T. / Krauß, M. | Tema Archiv | 2013
    Schlagwörter: Lernprozess

    Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning

    Zhang, Jian / Qian, Pinzheng / Qi, Xinyue | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Game Theory-Based Lane Change Decision-Making Considering Vehicle’s Social Value Orientation

    Zhao, Chenyang / Chu, Duanfeng / Zhang, Mingshuai et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Application of Machine Learning in Generating Load Profile Transitions for a Gear Pair

    Kulkarni, Makarand / DIXIT, YASHANSHU | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    An approach to vehicle recognition using supervised learning

    Kato, T. / Ninomiya, Y. | Tema Archiv | 2000
    Schlagwörter: Lernen

    Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion

    Fan, Longyu / Xu, Qizhen / Lu, Xin et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Autonomous driving by pattern matching and reinforcement learning

    Kuhnert, K.D. / Krödel, M. | Tema Archiv | 2002
    Schlagwörter: Lernprozess

    Short-Term Traffic Flow Prediction for Electronic Toll Collection and Manual Toll Collection Charging System Based on Long Short-Term Memory Model

    Wu, Bangyu / Li, Bin / Zhu, Chen et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    The Detection of Visual Distraction using Vehicle and Driver-Based Sensors

    Schwarz, Chris / Gaspar, John / Lee, John et al. | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Deep learning methods for automotive radar signal processing

    Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning methods for automotive radar signal processing

      Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 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

    Gaussian process regression for forecasting battery state of health

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

    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

    Weight Reduction of Double Wishbone-Arm Component in the Suspension System of an Automobile using Generative Design

    B, Beno Prince / Elsen, Renold / P G, Sachin et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    THC Concentration Estimation Model using FTIR Spectrum

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

    Autonomous Quadcopter for Building Construction Monitoring

    V, Hariprasad / V, Karthick Sreenivasan / V, Sathish et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Fahrzeugsicherheit und automatisiertes Fahren : Methoden der Signalverarbeitung und des maschinellen Lernens

    Botsch, Michael / Utschick, Wolfgang | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen

      Fahrzeugsicherheit und automatisiertes Fahren : Methoden der Signalverarbeitung und des maschinellen Lernens

      Botsch, Michael / Utschick, Wolfgang | SLUB | 2020
      Schlagwörter: Maschinelles Lernen

    Driver behavior recognition and prediction in a SmartCar

    Oliver, N. / Pentland, A.P. | Tema Archiv | 2000
    Schlagwörter: Lernen

    Detecting hidden targets: a procedure for studying performance in a mine-detection-like task

    Cerutti, D.T. / Chelaru, I.M. / Staddon, J.E. | Tema Archiv | 2000
    Schlagwörter: Lernprozess

    A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers

    Halgamuge, S.K. | Tema Archiv | 1998
    Schlagwörter: Lernen , neuronales Lernen

    Deep Self-Supervised Learning Models for Automotive Systems

    Kurumbudel, Prashanth Ram | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Reinforcement Learning Technique for Parameterization in Powertrain Controls

    Sidharthan, Gautham / Venkobarao, Vivek | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Optimierung der Verfügbarkeit und des Aufwands von Kfz-Bordnetzen mit Hilfe der Neuro-Fuzzy-Methode

    Döring, M. / Rech, B. / Meyna, A. | Tema Archiv | 2001
    Schlagwörter: Lernprozess

    3D vehicle sensor based on monocular vision

    Ponsa, D. / Lopez, A. / Lumbreras, F. et al. | Tema Archiv | 2005
    Schlagwörter: Lernen

    Oppositional particle swarm optimization algorithm and its application to fault monitor

    Ma, Haiping / Lin, Shengdong / Jin, Baogen | Tema Archiv | 2009
    Schlagwörter: Lernen

    Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods

    Takagi, Toru / Tanaka, Yasuhiro | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    A Comparison Study on Control Strategies for Optimization of an Anti-Lock Brake System Algorithm Based on Tire Force Measurement in Pure and Combined Slip Conditions of an Automobile

    Mehta, Harshal Piyush / Maurya, Mithilesh / Shaikh, Parvez Shagir et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    No Cost Autonomous Vehicle Advancements in CARLA through ROS

    Prescinotti Vivan, Gabriel / Rojas, Johan / Goberville, Nick et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Technology Innovation Flight: Education and Training Technology Application Program

    Levi, K. / United States / Old Dominion University | British Library Conference Proceedings | 2003
    Schlagwörter: advanced learning technologies , learning networks , learning technologies , advanced learning networks

    Machine Learning Based Optimal Energy Storage Devices Selection Assistance for Vehicle Propulsion Systems

    Xu, Bin / Rizzo, Denise / Onori, Simona | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective

    Kumar, Amit / Raghavendran, Prasath / Mohammed, Riyazuddin et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Improved classification of surface defects for quality control of car body panels

    Doring, C. / Eichhorn, A. / Wang, Xiaomeng et al. | Tema Archiv | 2007
    Schlagwörter: Lernen

    Posenbasierte Intentionserkennung von ungeschützten Verkehrsteilnehmern aus einem Fahrzeug

    Kreß, Viktor | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction

    ZHU, DI / Cho, Gyouho / Campbell, Jeffrey | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    DigiNet.Air - Teilvorhaben TUHH : Laufzeit des Vorhabens: 01.10.2017-30.09.2020 : Berichtszeitraum: Abschlussbericht 2020

    Knutzen, Sönke / Kortegast, Vanessa / Klaffke, Henning et al. | TIBKAT | 2020
    Schlagwörter: E-Learning

    Modelling roughness of road profiles on parallel tracks using roughness indicators

    Johannesson, Par | Online Contents | 2016
    Schlagwörter: Learning models (Stochastic processes)

    Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

    Dede, Tayfun | Online Contents | 2014
    Schlagwörter: teaching-learning-based optimization

    Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning

    Khatavkar, Akshay / Sahu, Dilip / Belur, Nikhil et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality

    Meng, Chao / Wang, Hanchao / Mei, Jinren et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Tuning of Turbulence Model Closure Coefficients Using an Explainability Based Machine Learning Algorithm

    Bounds, Charles Patrick / Uddin, Mesbah / Desai, Shishir | SAE Technical Papers | 2023
    Schlagwörter: Machine learning