Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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251–300 von 2,059 Ergebnissen
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    Driver Identification Using Multivariate In-vehicle Time Series Data

    Luo, Dawei / Guo, Gang / Lu, Jianbo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software

    Czarnecki, Krzysztof / Salay, Rick / Queiroz, Rodrigo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Toward a Framework for Highly Automated Vehicle Safety Validation

    Wagner, Michael / Koopman, Philip | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Personalized Driver Workload Estimation in Real-World Driving

    Kochhar, Dev S. / Murphey, Yi / Xie, Yongquan | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Quantification of model uncertainty in RANS simulations: A review

    Xiao, Heng / Cinnella, Paola | Elsevier | 2018
    Schlagwörter: Machine learning

    Practical Approaches for Detecting DoS Attacks on CAN Network

    Sambranikar, Meghana / SS, Narendra Kumar / Kalyanasundaram, Pallavi et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Estimation of Vehicle Tire-Road Contact Forces: A Comparison between Artificial Neural Network and Observed Theory Approaches

    Victorino, Alessandro / Alatorre, Angel / Sandu, Corina et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Classifying the traffic state of urban expressways: A machine-learning approach

    Cheng, Zeyang / Wang, Wei / Lu, Jian et al. | Elsevier | 2018
    Schlagwörter: Machine-learning

    Development of 80- and 100- Mile Work Day Cycles Representative of Commercial Pickup and Delivery Operation

    Duran, Adam / kresse, John / Li, Ke et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Decisions in Highly Automated Vehicles for Passing Urban Intersections with Support Vector Machines

    Hsu, Tsung-Ming / Wang, Wei-Jen | SAE Technical Papers | 2018
    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

    Variables Influencing RNAV STAR Adherence

    Stewart, Michael / Matthews, Bryan / Janakiraman, Vijay et al. | NTRS | 2018
    Schlagwörter: machine learning

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Springer Verlag | 2018
    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

    A fractional Fourier transform-based method to detect impacts between the bogie and the car body of a railway vehicle: A data-driven approach

    Gutiérrez-Carvajal, RE / Betancur, German R / Castañeda, Leonel F et al. | SAGE Publications | 2018
    Schlagwörter: machine learning

    Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

    Pawłowicz, Bartosz / Salach, Mateusz / Trybus, Bartosz | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Inferring passenger types from commuter eigentravel matrices

    Legara, Erika Fille T. / Monterola, Christopher P. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Handling Deviation for Autonomous Vehicles after Learning from Small Dataset

    Peng, Gaoliang / Guo, Longxiang / Wang, Weitian et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet

    Meroux, Dominique / Tal, Gil | SAE Technical Papers | 2018
    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 | Springer Verlag | 2018
    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

    The Fault-Augmented Approach for the Systematic Simulation of Fault Behavior in Multi-Domain Systems in Aerospace

    Abel, Andreas / Kolesnikov, Artem / Andreev, Maxim | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    LiDAR Based Sensor Verification

    Jayaraman, Arvind / Ragunathan, Balakumar / Kurtz, Nathan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Learning Gasoline Direct Injector Dynamics Using Artificial Neural Networks

    Shibata, Jonathan / Lucido, Michael | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection

    Kumar, Sachin / Kalia, Anushtha / Sharma, Arjun | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Study of machine learning algorithms to state of health estimation of iron phosphate lithium-ion battery used in fully electric vehicles

    Vieira, Daniel / Junior, Eloy M. O. / Cerri, Fernando et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Estimating Helicopter Noise Abatement Information with Machine Learning

    E. Greenwood | NTIS | 2018
    Schlagwörter: Machine learning

    Cold Chain Management Using Model Based Design, Machine Learning Algorithms and Data Analytics

    Palaniyandi, Balamurali / Khanuja, Gagandeep Singh / D H, Sharath et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories

    Suter, Jesse D. / Bauman, Mark / Mars, William V. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Effects of Thermal and Auxiliary Dynamics on a Fuel Cell Based Range Extender

    Jung, Daniel / Oruganti, Pradeep Sharma / Ahmed, Qadeer | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Improving Manufacturing Efficiencies through Industry 4.0 Technologies in Aerospace

    Nampuraja, Enose / Shankaraiah, Mahesh / Vasudevan, Ramji et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Big data machine learning for flight planning

    Shu-Zhong Cabos, Ralf René / Technische Universität Braunschweig | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

      Big data machine learning for flight planning

      Shu-Zhong Cabos, Ralf René / Technische Universität Braunschweig | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2018
      Schlagwörter: Maschinelles Lernen

    GPS Guided Autonomous Navigation of a Small Agricultural Robot with Automated Fertilizing System

    Medlock, Gregory / Khan, Nazmuzzaman / Graves, Scott et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Dynamic Evolution of Simulated Autonomous Cars in the Open World Through Tactics

    Sylnice, Joe R. / Alférez, Germán H. | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Human Emotion Based Interior Lighting Control

    K, Gayathri / Manalikandy, Mithun / D H, Sharath et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Applications of Machine Learning to Flight Dynamics Operations

    Slojkowski, Steven / Getchius, Joel / Michaels, Adam et al. | NTRS | 2018
    Schlagwörter: Machine Learning

    Disruptive Innovation for Auto Insurance Entrepreneurs: New Paradigm Using Telematics and Machine Learning

    Arun Kumar, N. / Yellampalli, Siva | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Controlling LED Based Adaptive Front-Lighting System Using Machine Learning

    Kumar, Kshitij / Manalikandy, Mithun / Nandyala, Sivaprasad et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    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

    Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices

    Kim, Damee / Hussain, Iqram / Hur, Jae Hun et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data

    Kumar, Ajit / Ghosh, Ajoy Kanti | AIAA | 2018
    Schlagwörter: Machine Learning

    Common Proper Orthogonal Decomposition-Based Spatiotemporal Emulator for Design Exploration

    Yeh, Shiang-Ting / Wang, Xingjian / Sung, Chih-Li et al. | AIAA | 2018
    Schlagwörter: Machine Learning

    Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles

    Warner, Jonathan / Rogers, Jonathan | AIAA | 2018
    Schlagwörter: Machine Learning

    Dual-Input/Single-Output Extremum-Seeking System for Jet Control

    Wu, Z. / Wong, C. W. / Zhou, Y. | AIAA | 2018
    Schlagwörter: Machine Learning Control

    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

    Parsa, Amir Bahador / Movahedi, Ali / Taghipour, Homa et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories

    Li, Meng / Li, Zhibin / Xu, Chengcheng et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    An ensemble prediction model for train delays

    Nair, Rahul / Hoang, Thanh Lam / Laumanns, Marco et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning , machine learning

    Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds

    Nair, Rahul / Dekusar, Anton | Elsevier | 2019
    Schlagwörter: Machine learning