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

1–50 von 698 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

    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

    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

    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 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 Analysis of Gear Defects using Machine Learning Approach

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

    Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems

    Börger, Joachim / Häring, Jürgen / Palm, Günther | Tema Archiv | 2010
    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 Machine Learning Techniques for Managing the Tracking and Data Relay Satellite Constellation

    Kenneth Y. Ma / Manuel Montoro / Lawrence Woods et al. | NTRS
    Schlagwörter: Machine Learning (ML)

    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

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Understanding User Requirements for Smart Cockpit of New Energy Vehicles: A Natural Language Process Approach

    Zhang, Chaokai / Fu, Hui / Zou, Jingkai et al. | SAE Technical Papers | 2022
    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

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation

    Ayyad, Ahmed / Prohm, Christopher / Hilbert, Marc et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning