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

51–100 von 698 Ergebnissen
|

    Identification of Driver’s Braking Intention in Cut-In Scenarios

    Li, Jingyuan / Ji, Xuewu / Liu, Yahui et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Reinforcement Learning Technique for Parameterization in Powertrain Controls

    Sidharthan, Gautham / Venkobarao, Vivek | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A camera self-health-maintenance system based on sensor artificial intelligence

    Freier Zugriff
    Wischow, Maik / Gallego, Guillermo / Ernst, Ines et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    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

    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

    Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning

    Zhang, Jian / Qian, Pinzheng / Qi, Xinyue | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Short-Term Traffic Flow Prediction for Electronic Toll Collection and Manual Toll Collection Charging System Based on Long Short-Term Memory Model

    Wu, Bangyu / Li, Bin / Zhu, Chen et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Predictive Modeling of Aircraft Dynamics Using Neural Networks

    Tullock, Charles / Khosla, Deepak / Hung, Fan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    The Detection of Visual Distraction using Vehicle and Driver-Based Sensors

    Schwarz, Chris / Gaspar, John / Lee, John et al. | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion

    Fan, Longyu / Xu, Qizhen / Lu, Xin et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles

    Wu, Guangqiang / Zhang, Xianhong / Li, Xiaoyun et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Reinforcement learning for robot control using probability density estimations

    Freier Zugriff
    Celaya, Enric / Agostini, Alejandro | BASE | 2010
    Schlagwörter: Machine learning , Reinforcement learning

    Game Theory-Based Lane Change Decision-Making Considering Vehicle’s Social Value Orientation

    Zhao, Chenyang / Chu, Duanfeng / Zhang, Mingshuai et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Application of Machine Learning in Generating Load Profile Transitions for a Gear Pair

    Kulkarni, Makarand / DIXIT, YASHANSHU | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    THC Concentration Estimation Model using FTIR Spectrum

    Yabushita, Hirotaka / Nagaoka, Makoto / Yoshioka, Masaya et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles

    Lv, Chen / Chen, Hao / He, Xiangkun | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal

    Vaithiyanathan, Muralidharan / Durairaj, Pradeep Kumar | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods

    Takagi, Toru / Tanaka, Yasuhiro | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Human vs Robot Lie Detector: Better working as a team?

    Freier Zugriff
    Pasquali, Dario / Davide Gaggero / Gualtiero Volpe et al. | BASE | 2021
    Schlagwörter: machine learning

    Reward Function Design via Human Knowledge Graph and Inverse Reinforcement Learning for Intelligent Driving

    Guo, Rong / Xue, Xiang / Hong, Ze | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Deep Self-Supervised Learning Models for Automotive Systems

    Kurumbudel, Prashanth Ram | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification

    Telenko, Cassandra / Meroux, Dominique / Jiang, Zhen | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Bridging the Gap between ISO 26262 and Machine Learning: A Survey of Techniques for Developing Confidence in Machine Learning Systems

    Joyce, Jeffrey / Serna, Jose / Millet, Laure et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Autonomous Quadcopter for Building Construction Monitoring

    V, Hariprasad / V, Karthick Sreenivasan / V, Sathish et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction

    ZHU, DI / Cho, Gyouho / Campbell, Jeffrey | SAE Technical Papers | 2021
    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

    Damage diagnostic technique combining machine learning approach with a sensor swarm

    Freier Zugriff
    Roveri N. / Milana S. / Culla A. et al. | BASE | 2019
    Schlagwörter: machine learning

    Adult2child: Motion Style Transfer using CycleGANs

    Freier Zugriff
    Yuzhu Dong / Andreas Aristidou / Ariel Shamir et al. | BASE | 2020
    Schlagwörter: Machine learning

    Assessment of data-driven Reynolds stress tensor perturbations for uncertainty quantification of RANS turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten / Morsbach, Christian | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

      Assessment of data-driven Reynolds stress tensor perturbations for uncertainty quantification of RANS turbulence models

      Freier Zugriff
      Matha, Marcel / Kucharczyk, Karsten / Morsbach, Christian | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
      Schlagwörter: machine learning

    A preliminary experiment combining marine robotics and citizenship engagement using imitation learning

    Freier Zugriff
    Odetti, Angelo / Bibuli, Marco / Bruzzone, Gabriele et al. | BASE | 2020
    Schlagwörter: machine learning

    Reinforcement Learning Based Parking Space Egress for Autonomous Driving

    Theerthala, Raghu Ram / A R, Vimal Kumar | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Predictive Model Development Using Machine Learning for Engine Cranktrain System

    S, Aravamuthan / Sharma, Ayush / K, Karthikeyan et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Study of Derived Battery Features for Real-Time Estimation of SOH and RUL of EV Battery Using Data Analysis

    Nangare, Kapilraj / Nidubrolu, Kranthi / Gaikwad, Pooja | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Crash Rate Estimation by Aerial Image Analysis

    Freier Zugriff
    Kornfeld, Nils / Lücken, Leonhard / Leich, Andreas et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: Machine Learning , Deep Learning

    AI-Based Rotation Aware Detection of Aircraft and Identification of Key Features for Collision Avoidance Systems (SAE Paper 2022-01-0036)

    Kwasniewska, Alicja / MacAllister, Anastacia / Gamba, David et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Multi-part Analysis and Techniques for Air Traffic Speech Recognition

    Srinivasan, Narayanan / Balasundaram, S. R. | SAE Technical Papers | 2022
    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

    Preliminary evidence of dynamic muscular synergies in human grasping

    Freier Zugriff
    Castellini, Claudio / van der Smagt, Patrick | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2011
    Schlagwörter: machine learning

    Refinement of Gaussian Process Regression Modeling of Pilot-Ignited Direct-Injected Natural Gas Engines

    Karpinski-Leydier, Michael / Kirchen, Patrick / Nagamune, Ryozo | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Comparison Study on Control Strategies for Optimization of an Anti-Lock Brake System Algorithm Based on Tire Force Measurement in Pure and Combined Slip Conditions of an Automobile

    Mehta, Harshal Piyush / Maurya, Mithilesh / Shaikh, Parvez Shagir et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    No Cost Autonomous Vehicle Advancements in CARLA through ROS

    Prescinotti Vivan, Gabriel / Rojas, Johan / Goberville, Nick et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning Based Optimal Energy Storage Devices Selection Assistance for Vehicle Propulsion Systems

    Xu, Bin / Rizzo, Denise / Onori, Simona | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Modeling Weather Impact on Ground Delay Programs

    Kulkarni, Deepak / Wang, Yao | SAE Technical Papers | 2011
    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

    Prediction of Hybrid Electric Bus Speed Using Deep Learning Method

    Hwang, Giyeon / Nguyen, Huy / Park, Jihwan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy

    März, Christian / Guehmann, Clemens / Behrendt, Frank et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach

    Xie, Biao / Wang, Bowen / Zhao, Dezong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality

    Meng, Chao / Wang, Hanchao / Mei, Jinren et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning