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

1–20 von 743 Ergebnissen
|

    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 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

    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