Synonyms were used for: Lernen Maschinelles Lernen
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21–40 of 78 hits
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    Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks

    Warey, Alok / Gao, Jian / Grover, Ronald | SAE Technical Papers | 2021
    Keywords: Machine learning

    Topological Optimization of Non-Pneumatic Unique Puncture-Proof Tire System Spoke Design for Tire Performance

    Rai, Beena / Dhrangdhariya, Priyankkumar / Maiti, Soumyadipta | SAE Technical Papers | 2023
    Keywords: 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
    Keywords: Machine learning

    Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network

    Tan, Gangfeng / Feng, Jiaming / Tang, Jingning et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Intelligent Real Time Inspection of Rivet Quality Supported by Human-Robot-Collaboration

    Schulz, Albert / Duppe, Benjamin / Vette, Matthias et al. | SAE Technical Papers | 2019
    Keywords: 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
    Keywords: 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
    Keywords: Machine learning

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

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

    Analysis and Interpretation of Data-Driven Closure Models for Large Eddy Simulation of Internal Combustion Engine

    Daly, Conor / Schmidt, David / Haghshenas, Majid et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines

    Goberville, Nicholas A. / Kadav, Parth / Asher, Zachary D. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers

    Reddy, C. J. / Karuppuswami, Saranraj | SAE Technical Papers | 2021
    Keywords: 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
    Keywords: Machine learning

    Next-Gen Maintenance Framework for Urban Air Mobility Vehicles

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

    Control Model of Automated Driving Systems Based on SOTIF Evaluation

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

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

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

    Driver’s Response Prediction Using Naturalistic Data Set

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