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    Genesis of the “Automotive Homologation 4.0” Framework for India

    S Thipse, Yogesh | SAE Technical Papers | 2024
    Schlagwörter: Big data

    Big Data and Telemetry Data Methodology for Usage Failure Mode Detection

    Hachyia, Afonso / Prazeres, Christopher / Takahashi, Marcio | SAE Technical Papers | 2024
    Schlagwörter: Big data

    Big Data Analytics (Telematics) for Real-Time Testing Improvements and Integration Back to the Development of Future Models/EVs

    Prasad, Kakaraparti Agam / Sahoo, Priyabrata / Singh, Saurabh | SAE Technical Papers | 2024
    Schlagwörter: Big data

    Intelligence for future cities : planning through big data and urban analytics

    Goodspeed, Robert / Sengupta, Raja / Kyttä, Marketta | TIBKAT | 2023
    Schlagwörter: Mathematics—Data processing. , Big Data

    Internet of mobility / VDV, Die Verkehrsunternehmen; Gesamtbearbeitung Ausschuss für Telematik und Informationssysteme (ATI) ; Autorenverzeichnis: Dr. Claus Dohmen [und 11 andere], 2: Aufbau der Topic-Strukturen

    Verband Deutscher Verkehrsunternehmen / Verband Deutscher Verkehrsunternehmen, Ausschuss für Telematik und Informationssysteme / Verband Deutscher Verkehrsunternehmen, Unterausschuss für Telematik | TIBKAT | 2023
    Schlagwörter: Big Data

    Implementation of Predictive Adaptive Cruise Control Strategy Based on ADAS Map

    Xi, Chong / Qian, Guoping / Tian, Juntao et al. | SAE Technical Papers | 2023
    Schlagwörter: Big data

    How the Tools of Quality 4.0 support the principles of TQC/TQM

    da Silva Bento, Nelson / Ibusuki, Ugo / Cavalcanti Bortoleto, William | SAE Technical Papers | 2023
    Schlagwörter: Big data

    Applying Machine Learning on automotive customer quality data to improve user experience and increase industry competitiveness

    de Miranda Junior, Airton Wagner / Torres Fernandes Veiga, Daniel Thadeu / Nascimento Silva, Luana et al. | SAE Technical Papers | 2023
    Schlagwörter: Big data

    Customer Complaints Analysis Using Textmining Method

    You, Hanmin | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Discovering Effective Factors for Big Data-Based Fuel Cell Durability

    Jin, Youngpin | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Impact of Quantum Computing in Aerospace

    Walthall, Rhonda / Dixit, Sunil | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Smart metro station systems : data science and engineering

    Liu, Hui / Chen, Chao / Li, Yanfei et al. | TIBKAT | 2022
    Schlagwörter: Big Data , Data Science

    Research on Vehicle State Segmentation and Failure Prediction Based on Big Data

    Zhang, Ailei / Zhong, Hong / Liu, Jingxing et al. | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Travel behavior characteristics analysis technology based on mobile phone location data : methodology and empirical research

    Yang, Fei / Yao, Zhenxing | TIBKAT | 2022
    Schlagwörter: Big Data , Social sciences—Data processing.

    A Study on the Improvement of EV One-Pedal Driving System Interface and Cost Reduction

    Won, Myung Won | SAE Technical Papers | 2022
    Schlagwörter: Big data

    LAVA: A Methodology for Leveraging Aggregated Vehicle Analytics

    Tayim, Dina / Lerner, Jeremy / Pervez, Nahid et al. | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Engine Overheating Prediction with Machine Learning Using Gaussian Mixture Model (GMM)

    Krishna, Dinesh / JAGTAP, PRAMOD / Hiwase, Shrikant Deokrishna | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Application of AI for Predicting Test Cycles of Drivetrain Component

    Kharche / Sirsaj | SAE Technical Papers | 2022
    Schlagwörter: Big data , Data acquisition and handling

    Multivariate Analysis and Index Forecast of Influencing Factors of Shanghai Municipal Domestic Waste Generation

    Shen, Na / Tu, Yun / Xiao, Zi Xin | SAE Technical Papers | 2022
    Schlagwörter: Big data

    Review on Uncertainty Estimation in Deep-Learning-Based Environment Perception of Intelligent Vehicles

    Rigoll, Gerhard / Yin, Huilin / Yan, Jun et al. | SAE Technical Papers | 2022
    Schlagwörter: Big data