Synonyme wurden verwendet für: Lernen Maschinelles Lernen
Suche ohne Synonyme: keywords:(Maschinelles Lernen)

1–50 von 644 Ergebnissen
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    Wireless Charging for EV/HEV with Prescriptive Analytics, Machine Learning, Cybersecurity and Blockchain Technology: Ongoing and Future Trends

    Kodakkadan, Abid Rahman / Manalikandy, Mithun / Koduri, Rajesh et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data

    Pereira, Francisco C | Online Contents | 2015
    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

    Weighted Distance Metrics for Data Association Problem in Multi-Sensor Fusion

    Wang, Daihan / Zhang, Darui / Yang, Hang et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Weather Classification for Lidar based on Deep Learning

    Ma, Bing / Wang, Dengjiang / Ma, Gang et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Weak Supervised Hierarchical Place Recognition with VLAD-Based Descriptor

    Fang, Kai / Wang, Yafei / Li, Zexing | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archiv | 2003
    Schlagwörter: maschinelles Sehen , Lernen

    Visual Odometry Integrated Semantic Constraints towards Autonomous Driving

    Lan, FengChong / Chen, Jiqing / Yao, Siyu | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning

    Liu, HaiLong | Online Contents | 2017
    Schlagwörter: deep learning , Machine learning

    Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives

    Jensen, Morten Borno | Online Contents | 2016
    Schlagwörter: machine learning

    Vision-Based Real-Time Obstacle Detection System for Trains

    Xue, Dan / Zhou, Mingyu / Feng, Rui et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Virtual Sensors in Small Engines – Previous Successes and Promising Future Use Cases

    Ofner, Andreas Benjamin / Geiger, Bernhard / Sjoblom, Jonas et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC

    Kühnapfel, Uwe / Röllich, Thorsten / Bretthauer, Georg | Tema Archiv | 2005
    Schlagwörter: maschinelles Lernen

    Virtual Co-Simulation Platform for Test and Validation of ADAS and Autonomous Driving

    Wei, Bin / Chen, Huan / Song, Ke et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine

    Mandal, Aditya / Arvanitis, Anastasios / Chien, Li-Chun et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Vibration Comfort Control for HEV Based on Machine Learning

    Watzenig, Daniel / Zehetner, Josef / Radmilovic, Zoran | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Online Contents | 2018
    Schlagwörter: machine learning

    Vibration Analysis of Gear Defects using Machine Learning Approach

    Sadique, Anwar / Poulose, Jasmine / prasad SR, Vishnu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen

    Voigt, Andreas E. / Technische Universität Braunschweig / Institut für Flugsystemtechnik | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

    Vehicle Velocity Prediction and Energy Management Strategy Part 1: Deterministic and Stochastic Vehicle Velocity Prediction Using Machine Learning

    Kolmanovsky, Ilya / Liu, Kuan / Huang, Mike et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    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

    Vehicle Kinematics-Based Image Augmentation against Motion Blur for Object Detectors

    Meng, Dejian / Zhang, Lijun / Huang, Luying et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Vehicle-In-The-Loop Workflow for the Evaluation of Energy-Efficient Automated Driving Controls in Real Vehicles

    Karbowski, Dominik / Han, Jihun / Jeong, Jongryeol et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Vehicle-Integrated Camera Based Rider Helmet Detection & Warning System

    Kishor, Kaushal / Tarte, Malay / Joshi, Umita | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Vehicle Forward Collision Warning Based on Improved Deep Neural Network

    Xue, Bingying / Zhou, Guilin / Li, Jie et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Vehicle Following Hybrid Control Algorithm Based on DRL and PID in Intelligent Network Environment

    Hu, Bo / Chen, Jiahui / Tan, Senlin et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Vehicle Detection Based on Deep Neural Network Combined with Radar Attention Mechanism

    Bai, Jie / Huang, Libo / Li, Sen et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    UUV teams, control from a biological perspective

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

    Utilization of Ikaz and Direct Quadrature for Transient Test-Based Technique for Leakage Detection Purpose in Pipeline System

    Yusop, Hanafı M. / Ghazali, M. F. / Azmi, W. H. et al. | TIBKAT | 2021
    Schlagwörter: Machine learning.

    Utilization of Fuzzy Analytical Hierarchy Process (FAHP) and TOPSIS-AHP for Selecting the Best Plant Maintenance Strategy

    Kamaludin, K. N. / Abdullah, L. / Sheng, L. Y. et al. | TIBKAT | 2021
    Schlagwörter: Machine learning.

    Using Reinforcement Learning and Simulation to Develop Autonomous Vehicle Control Strategies

    Navarro, Anthony / Fanas Rojas, Johan / Goberville, Nick et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles

    Kapadia, Jimmy / Ahmed, N Khalid | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Using Deep Reinforcement Learning for Hybrid Electric Vehicle Energy Management under Consideration of Dynamic Emission Models

    Lorenz, Alexander / Bäker, Bernard / Fechert, Robert et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Using Deep Learning to Predict the Engine Operating Point in Real-Time

    Lakshmanan, Sridhar / Kolachalama, Srikanth | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    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

    Use of tribological and AI models on vehicle emission tests to predict fuel savings through lower oil viscosity

    Tomanik, Eduardo / Morais, Paulo / Tomanik, Victor | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Use of Machine Learning to Predict the Injuries of the Occupant of a Vehicle Involved in an Accident

    Howlader, Ashim | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control

    Egan, Daniel / Zhu, Qilun / Prucka, Robert et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors

    Pasqualon, Aurélie / Facteau, Elizabeth / Bultel, Etienne et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Use of convolutional neural network for sensor modeling and on-board diagnostic

    Provase, Ivan Sanches | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Usefulness and Time Savings Metrics to Evaluate Adoption of Digital Twin Technology

    Moss, Benjamin / Eddy, Conner / Morris, John et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen

    Untersuchung einer speziesbasierten Abgasstrahlanalyse zur automatisierten Detektion von Brennkammerschäden in Flugtriebwerken

    Haar, Henrik / TEWISS - Technik und Wissen GmbH / Gottfried Wilhelm Leibniz Universität Hannover | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

      Untersuchung einer speziesbasierten Abgasstrahlanalyse zur automatisierten Detektion von Brennkammerschäden in Flugtriebwerken

      Haar, Henrik / TEWISS - Technik und Wissen GmbH / Gottfried Wilhelm Leibniz Universität Hannover | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Maschinelles Lernen

    Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points

    Taniguchi, Tadahiro | Online Contents | 2015
    Schlagwörter: unsupervised learning , machine learning , unsupervised learning method