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

1–50 von 2,139 Ergebnissen
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    Α New Method to Generate the Initial Population of the Bees Algorithm for Robot Path Planning in a Static Environment

    Kashkash, Mariam / Haj Darwish, Ahmed / Joukhadar, Abdulkader | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Zusammenfassung und Ausblick

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information

    Halbersberg, Dan / Lerner, Boaz | Elsevier | 2019
    Schlagwörter: Machine learning

    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble and machine learning

    Workshop on Assurance for Autonomous Systems for Aviation

    G. Brat / M. Davies / D. Giannakopoulou et al. | NTIS | 2016
    Schlagwörter: Machine learning

    Workers’ compensation claim counts and rates by injury event/exposure among state-insured private employers in Ohio, 2007–2017

    Wurzelbacher, Steven J. / Meyers, Alysha R. / Lampl, Michael P. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    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

    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Unsupervised machine learning

    Who's Got the Bridge? - Towards Safe, Robust Autonomous Operations at NASA Langley's Autonomy Incubator

    B. D. Allen / C. D. Cross / M. A. Motter et al. | NTIS | 2015
    Schlagwörter: Machine learning

    What You Can Do with a Data Filter?

    Mandrake, Lukas | NTRS | 2013
    Schlagwörter: machine learning

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Schlagwörter: Machine learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Schlagwörter: Machine learning

    Welcome to the Data Jungle – Our Way to Tackle AI-Supported Vehicle Development Projects

    Maerker, J. / Fleischer, T. / Rößler, T. et al. | Springer Verlag | 2021
    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 Impact on Airport Arrival Meter Fix Throughput

    Wang, Yao | NTRS | 2017
    Schlagwörter: Machine Learning Model.

    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

    Way Forward for New and Current Users - Workshop Intro-Uncontrolled Airspace Commercial Space Traffic Management

    P. H. Kopardekar / S. J. Zelinski | NTIS | 2017
    Schlagwörter: Machine learning

    Wave Detection and Tracking Within a Rotating Detonation Engine Through Object Detection

    Johnson, Kristyn B. / Ferguson, Donald H. / Nix, Andrew C. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Vulnerable road users’ crash hotspot identification on multi-lane arterial roads using estimated exposure and considering context classification

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Voronoi Diagram-Based Approach to Identify Maritime Corridors

    Masmoudi, Mariem / Chakhar, Salem / Chabchoub, Habib | Springer Verlag | 2023
    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 Interactive Planning Model of Landscape Architecture in Settlement Area Based on Situational Awareness

    Diao, Jun-qin / Cui, Xue-yong | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    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

    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

    Video Based Machine Learning for Traffic Intersections

    Banerjee, Tania | TIBKAT | 2023
    Schlagwörter: Machine learning

    Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning

    Sai Prasad, Kashi / Pasupathy, S. | Springer Verlag | 2022
    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. | Springer Verlag | 2018
    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

    Verification of Image-Based Neural Network Controllers Using Generative Models

    Katz, Sydney M. / Corso, Anthony L. / Strong, Christopher A. et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren

    Huber, Josef / Herbert Utz Verlag | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems

    Börger, Joachim / Häring, Jürgen / Palm, Günther | Tema Archiv | 2010
    Schlagwörter: maschinelles Lernen

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine learning

    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 Usage Extraction Using Unsupervised Ensemble Approach

    Khoshkangini, Reza / Kalia, Nidhi Rani / Ashwathanarayana, Sachin et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning