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Synonyme wurden verwendet für: Machine learning
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    ISVAR: In-Situ Validation of Augmented Reality

    Sarah M Lehman | NTRS
    Schlagwörter: Machine learning

    Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes

    Othmer, Carsten / Köstler, Harald / Mrosek, Markus et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine

    Faghani, Ethan / Bellone, Mauro / Karayiannidis, Yiannis | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning

    Tejas G Puranik / Milad Memarzadeh / Krishna M Kalyanam | NTRS
    Schlagwörter: machine learning

    An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms

    Arthur D Wiedemann / Christopher Fuller / Kyle A Pascioni | NTRS
    Schlagwörter: machine learning

    Performance of the Machine Learning on Controlling the Pneumatic Suspension of Automobiles on the Rigid and Off-Road Surfaces

    Shiming, Li / Dengke, Ni / Nguyen, Vanliem et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control

    Yuan, Huan / Zhou, Huaxiang / Nguyen, Vanliem | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Multi-agent Decision-Making Framework Based on Value Decomposition for Connected Automated Vehicles at Highway On-Ramps

    Wang, Jinzhu / Zhu, Xichan / Ma, Zhixiong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Next-Gen Maintenance Framework for Urban Air Mobility Vehicles

    Elahi, Imtiaz / Kadeppagari, Murali / Panicker, Renju et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions

    Banavar Sridhar / David Bell | NTRS | 2022
    Schlagwörter: Sustainable Aviation, Data Science, Machine Learning Techniques, Trustworthy AI

    Visual SLAM in Long-Range Autonomous Parking Application Based on Instance-Aware Semantic Segmentation via Multi-Task Network Cascades and Metric Learning Scheme

    Lai, Feng / Yu, Hao / Hu, Tianren et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport

    Lee, Hanbong / Coupe, William J. / Jung, Yoon C. | NTRS | 2019
    Schlagwörter: machine learning

    Machine Learning-Based Eco-Approach and Departure: Real-Time Trajectory Optimization at Connected Signalized Intersections

    Esaid, Danial / Ye, Fei / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Control Model of Automated Driving Systems Based on SOTIF Evaluation

    Haifeng, Cui / Yu, Fan / Zhang, Kaijiong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization

    Abe, Atsuji / Shintani, Kohei / Tsuchiyama, Minoru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Kernel regression for travel time estimation via convex optimization

    Blandin, Sebastien / El Ghaoui, Laurent / Bayen, Alexandre | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    Driver’s Response Prediction Using Naturalistic Data Set

    Guenther, Dennis / Heydinger, Gary / Lanka, Venkata Raghava Ravi | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction

    Borkar, Brijesh / Maria Francis, John Bosco / Arora, Pankaj | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Hierarchical fault diagnosis and health monitoring in multi-platform space systems

    Barua, A. / Khorasani, K. | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    A Novel Approach to Light Detection and Ranging Sensor Placement for Autonomous Driving Vehicles Using Deep Deterministic Policy Gradient Algorithm

    Berens, Felix / Ambs, Jordan / Reischl, Markus et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

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