Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–50 von 644 Ergebnissen
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    3D vehicle sensor based on monocular vision

    Ponsa, D. / Lopez, A. / Lumbreras, F. et al. | Tema Archiv | 2005
    Schlagwörter: maschinelles Sehen , Lernen

    Abschlussbericht zum Projekt: Hybride Statistische Lernmethoden für die Embedded-Umsetzung von Sicherheitsfunktionen im Fahrzeug (HySLEUS) der Technischen Hochschule Ingolstadt : Projektlaufzeit: 17.11.2014-31.01.2018

    Botsch, Michael / Chaulwar, Amit / Technische Hochschule Ingolstadt, Zentrum für Angewandte Forschung | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    Acceptance of Smart Automated Comfort Functionalities in Vehicles

    Guinea, Maria / Stang, Marco / Nitsche, Irma et al. | TIBKAT | 2021
    Schlagwörter: Machine learning.

    A Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Comparative Study of Machine Learning Classification for Color-based Safety Vest Detection on Construction-Site Images

    Seong, Hyeonwoo / Son, Hyojoo / Kim, Changwan | Online Contents | 2018
    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

    A Comparative Study with J48 and Random Tree Classifier for Predicting the State of Hydraulic Braking System through Vibration Signals

    Gopalan, Anitha / Arockia Dhanraj, Joshuva / Subramaniam, Mohankumar et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Comparison Study of Font Reconstruction Using Differential Evolution

    Yahya, N. Roslan. Z. R. / Muhamad, W. Z. A. W. / Rusdi, N. A. | TIBKAT | 2021
    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

    A Comprehensive Analysis of Methods to Write Requirements for Machine Learning Components used in Autonomous Vehicles

    Gil Batres, Andrea / Avalos Gonzalez, Carlos / Krishnamoorthy, Jayalekshmi et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Acoustic Model Reduction for the Design of Acoustic Treatments

    Poulos, Athanasios / Jacqmot, Jonathan / Kayvantash, Kambiz et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Acoustic sleepiness analysis - using speech input from driver assistance systems for the phonetic detection of critical driver states

    Krajewski, J. / Sommer, D. / Schupp, T. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning

    Freis, Amanda / Huff, Garret / Huang, Li et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Active-Learning Method: An Effective Way to Generate Ground Truth Data to Test & Validate ADAS Function Development

    Kumari, Anita / Katariya, Rashmi | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Adaptive and learning-based control of safety-critical systems

    Cohen, Max / Belta, Calin | TIBKAT | 2023
    Schlagwörter: Machine learning , Maschinelles Lernen

    Adaptive Modellierung des fertigkeitsbasierten Fahrerverhaltens durch konstruktives und evaluierendes Lernen

    Garrel, Udo | TIBKAT | 2003
    Schlagwörter: Maschinelles Lernen

    Adaptive navigation of automated vehicles by image analysis techniques

    Tsai, W. / Chen, Y. | Tema Archiv | 1986
    Schlagwörter: MASCHINELLES SEHEN , PATH NETWORK LEARNING

    A Decision-Making Method for Connected Autonomous Driving Based on Reinforcement Learning

    Zhang, Mingheng / Lv, Xinfei / Wan, Xing et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Deep Ensemble Network Model for Refined Traffic Volume Prediction Considering Spatial-Temporal Features

    Tao, Lu / Zhou, Tian / Liu, Wan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence

    Lee, Dongchul / Yoo, Dongkyu / Jung, Insoo et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Digital Forensic Method to Detect Object based Video Forgery Security Attacks on Surround View ADAS Camera System

    Karki, Maya / S M, Sarala | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop

    Ruperez lng, Adrián / Martinez, Aitor / Lopez, Blanca et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Adjoint-Based Model Tuning and Machine Learning Strategy for Turbulence Model Improvement

    Ren, Chao / Wu, Haibo / Zhou, Hua et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Advanced driver assistance system supporting routing and navigation for fully electric vehicles

    Demestichas, K. / Adamopoulou, E. / Masikos, M. et al. | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen

    Advanced Modelling of Frequency Dependent Damper Using Machine Learning Approach for Accurate Prediction of Ride and Handling Performances

    Thanapati, Alok Ranjan / Anthonysamy, Baskar / Deshmukh, Chandrakant Ramrao et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Advanced optimal control and applications involving critic intelligence

    Wang, Ding / Ha, Mingming / Zhao, Mingming | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen , Machine learning

    Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023

    He, Xiaodong / Li, Renfu / Liu, Zishun | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen , Machine learning

    Aeroengine Gas Path Parameter Trend Prediction Based on LSTM

    Zhou, Qifeng / Chen, Xiaonan / Qing, Xinlin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Forward Collision Warning System Using Deep Reinforcement Learning

    Dargahi, Javad / Zadeh, Mehrdad / Fekri, Pedram et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Framework for Benchmarking Feedback-Based Dynamic Data Collection Methods in Connected Vehicle Networks

    Sahin, Alp / Zeng, Xiangrui | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Fuzzy System for Automotive Fault Diagnosis

    Hamilton, Brennan / Chen, Tie-Qi / Lu, Yi | SAE Technical Papers | 1998
    Schlagwörter: Machine learning

    A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning

    Yi Lu / Tie Qi Chen / Hamilton, B. | Tema Archiv | 2000
    Schlagwörter: maschinelles Lernen

    A Hybrid Classification of Driver’s Style and Skill Using Fully-Connected Deep Neural Networks

    Hu, Hongyu / Liu, Jiarui / Hu, Ruofei | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Hybrid Method for Automotive Entity Recognition

    Manalikandy, Mithun / Sivaraman, Navya K / Koduri, Rajesh | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Hyper-solution Framework for SVM Classification: Improving Damage Detection on Helicopter Fuselage Panels

    Candelieri, Antonio / Sormani, Raul / Arosio, Gaia et al. | Tema Archiv | 2013
    Schlagwörter: maschinelles Lernen

    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

    Algorithms storage system

    Lopera, L.I. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen , verstärktes Lernen

    A Machine Learning Approach for Automating Software Code Review

    Taggarsi, Bhavana Mohan / Kameshwari Prasad Dev, M / Hossain, Shadab | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Machine Learning Approach for Hydrogen Internal Combustion (H2ICE) Mixture Preparation

    Jose, Alen / Probst, Daniel / Biware, Mukul | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    A Machine Learning Approach for Vibration Signal Based Fault Classification on Hydraulic Braking System through C4.5 Decision Tree Classifier and Logistic Model Tree Classifier

    A, Joshuva / Subramaniam, Mohankumar / Selvaraju, Nandakumar et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Machine Learning Approach in the Design of Friction Materials for Automotive Applications: Correlation among Composition, Process Parameters and Functional Characteristics

    Portesani, Alberto / Busso, Massimo / Regis, Pierluigi et al. | SAE Technical Papers | 2006
    Schlagwörter: Machine learning

    A Machine Learning Approach to Information Extraction from Cylinder Pressure Sensors

    Bernhardsson, Bo / Henningsson, Maria / Tunestal, Per et al. | SAE Technical Papers | 2012
    Schlagwörter: Machine learning

    A Machine Learning Modeling Approach for High Pressure Direct Injection Dual Fuel Compressed Natural Gas Engines

    Karpinski-Leydier, Michael / Kirchen, Patrick / Nagamune, Ryozo | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction

    Barkat, Mohammad / N, Pradeep / Karan, Vivek | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    A Methodology for Multi-Objective Design Optimization (MDO) of Automotive Suspension Systems

    Ganesh, Lingadalu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning