Synonyme wurden verwendet für: learning
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1–50 von 1,094 Ergebnissen
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    Zum Sicherheitsverhalten der Pkw-Fahrer

    Kocherscheidt, H. | Tema Archiv | 1997
    Schlagwörter: Lernprozess

    ZfP durch Resonanz-Frequenz-Messung von metallischen Bauteilen

    Sell, J. / Theiss, K. | Tema Archiv | 1992
    Schlagwörter: adaptives Lernen

    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

    Wind tunnel testing of a smart rotor model with trailing-edge flaps

    Koratkar, N.A. / Chopra, I. | Tema Archiv | 2002
    Schlagwörter: Lernprozess

    WilDa - Dynamische Wildunfallwarnung unter Verwendung heterogener Verkehrs-, Unfall- und Umweltdaten sowie Big Data Ansätze : Abschlussbericht aller Partner : im Rahmen der Fördermaßnahme: Modernitätsfonds/mFUND/Förderlinie 2 des BMI : Berichtszeitraum: 01.04.2017-30.09.2020

    Technische Hochschule Deggendorf, Institut für Angewandte Informatik / Albert-Ludwigs-Universität Freiburg, Professur für Wildtierökologie und Wildtiermanagement / Technische Hochschule Deggendorf, Institut für Existenzgründung | TIBKAT | 2021
    Schlagwörter: Deep 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

    Weakly Supervised Metric Learning for Traffic Sign Recognition in a LIDAR-Equipped Vehicle

    Tan, Min | Online Contents | 2016
    Schlagwörter: Metric learning , weakly supervised 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: 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

    Visual guidance during bicycle steering through narrow lanes: a study in children

    Vansteenkiste, Pieter | Online Contents | 2015
    Schlagwörter: Discrimination Learning - physiology

    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 modeling improves pipeline performance, costs

    Ben Rahmoune Mohamed / Hafaifa, Ahmed / Mouloud, Guemana | Tema Archiv | 2015
    Schlagwörter: Lernprozess

    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

    Verzögern mit Rekuperation: Lernprozesse aus der Nutzerperspektive

    Witzlack, C. / Cocron, P. / Krems, J. | Tema Archiv | 2013
    Schlagwörter: Lernprozess

    Vertragsgestaltung in der Automobilindustrie: Transaktionsmerkmale, Erfahrungslernen und Wissensmanagement

    Eckhard, Björn / Mellewigt, Thomas / Weller, Ingo | Tema Archiv | 2009
    Schlagwörter: Lernprozess

    Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen

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

    Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren

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

    Veraergerung nach der Fachausstellung in Berlin 1974

    Tema Archiv | 1975
    Schlagwörter: LERNPROZESS

    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 Type Classification Using a Semisupervised Convolutional Neural Network

    Zhen Dong | Online Contents | 2015
    Schlagwörter: feature learning , sparse Laplacian filter learning , handcrafted visual feature learning , multitask learning , learning (artificial intelligence) , filter learning

    Vehicle tracking based on co-learning particle filter

    Ye, Weilong / Liu, Huaping / Sun, Fuchun et al. | Tema Archiv | 2009
    Schlagwörter: Lernen

    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 merging algorithm for automated transportation systems using fuzzy logics

    Park, Jahng-Hyon / Lee, Seyoung | Tema Archiv | 1997
    Schlagwörter: Lernen

    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 in driving simulation using extreme learning machine

    Zhu, Wentao / Miao, Jun / Hu, Jiangbi et al. | Tema Archiv | 2014
    Schlagwörter: extreme learning machine

    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