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201–250 von 644 Ergebnissen
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    Road-Users Classification Utilizing Roadside Light Detection and Ranging Data

    Zhang, Han / Wu, Jianqing / Tian, Jun et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Modeling Virtual Sensor for Engine Nitrogen Oxides Using Variants of Artificial Neural Networks

    Kapase, Parashuram / Jain, Priyank / Lande, Sharad et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Security in Wireless Powertrain Networking through Machine Learning Localization

    Tabatowski-Bush, Ben | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Micro Gesture Recognition of the Millimeter-Wave Radar Based on Multi-branch Residual Neural Network

    Weng, Caien / Li, Dehai / Zhao, Guiquan et al. | SAE Technical Papers | 2022
    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

    Genesis of the “Automotive Homologation 4.0” Framework for India

    S Thipse, Yogesh | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Occupant Injury Severity Prediction in Road Traffic Accidents Using Machine Learning Techniques

    Khatavkar, Akshay / Sahu, Dilip / Kulkarni, Prasad et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Enhancing Traffic Safety by Developing Vehicle Safety Envelope with Real Time Data Interface and Machine Learning Based Sensor Fusion Platform

    Rowell, Aidan / Obando lng, David / Willis, James et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    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

    Comparing cities’ cycling patterns using online shared bicycle maps

    Sarkar, Advait / Lathia, Neal / Mascolo, Cecilia | Online Contents | 2015
    Schlagwörter: Machine learning

    Safe trajectory planning for maritime surface ships

    Lazarowska, Agnieszka | TIBKAT | 2022
    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

    Process-Monitoring-for-Quality - A Step Forward in the Zero Defects Vision

    Escobar, Carlos / Arinez, Jorge / Morales-Menendez, Ruben | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Decision-Making for Intelligent Vehicle Considering Uncertainty of Road Adhesion Coefficient Estimation: Autonomous Emergency Braking Case

    Leng, Bo / Yan, Danshu / Zhang, Danyu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    The Artificial Intelligence Application Strategy in Powertrain and Machine Control

    Jackson, Jonathan / Ge, Xinyu | SAE Technical Papers | 2015
    Schlagwörter: 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
    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

    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
    Schlagwörter: Machine learning

    Machine-Learning-Based Modelling of Electric Powertrain Noise Control Treatments

    Kocsis, Attila / Jacqmot, Jonathan | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Automotive Hood Design Based on Machine Learning and Structural Design Optimization

    Zhou, Guilin / Li, Jie / Wang, Ju et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Research on Autonomous Driving Decision Based on Improved Deep Deterministic Policy Algorithm

    Wu, Jian / YK, Shi / Song, Shiping | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Steering Performance Calculator using Machine Learning Techniques

    RS, Jeyevijeyan / Murugesan, Lakshmanprasad / Bhalerao, Mihir | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Automatic and Interpretable Predictive Maintenance System

    Yu, Wenbo / Li, Xuejiao / Sun, Yong | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control

    Egan, Daniel / Zhu, Qilun / Prucka, Robert et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Early Detection of Engine Anomalies - A Case Study for AI-Based Integrated Vehicle Health Management

    Reiter, Gil / Stein, Hilik / Williams, Kyle 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

    Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems

    Mammily, Sreejesh | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    IC Engine Dynamic oil Life Prediction Using Machine Learning Approach

    Kubasadgoudar, Ashwin / Gayakwad, Chirantan / Banapurmath, Nagaraj et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Data Synthesis Methods for Parking-Slot Detection

    Meng, Chao / Li, Jian / Mei, Jinren et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

    Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Online Contents | 2013
    Schlagwörter: M5’ machine learning method

    Multi-lane Lane Change Decision and Trajectory Planning of Vehicle Based on Logic Regression Algorithm and Gaussian Probability Density Model

    Zhang, Qi / Yu, Ting / Zhao, Ying et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Use of convolutional neural network for sensor modeling and on-board diagnostic

    Provase, Ivan Sanches | SAE Technical Papers | 2022
    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

    On-Board Predictive Maintenance with Machine Learning

    Zhang, Tianyu / Sun, Yong / Xu, Zhentao | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    A Neural Network Based Methodology for Virtual Sensor Development

    Nareid, Helge / Verdejo, Julian / Grimes, Michael | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    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

    Phase Optimized Skeletal Mechanisms in a Stochastic Reactor Model for Engine Simulation

    Blurock, Edward S. / Mauss, Fabian / Tuner, Martin | SAE Technical Papers | 2005
    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

    Application of a Machine Learning Approach for Selective Catalyst Reduction Catalyst 3D-CFD Modeling: Numerical Method Development and Experimental Validation

    Sapio, Francesco / Buitoni, Giacomo / Cozza, Ivan Flaminio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Anomaly Detection Using Convolutional Neural Network and Generative Adversarial Network

    Mohanan, Amritha / Padathil Veerendrakumar, Praveen / Padmanabha Rajeswari, Priyanka Pillai et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Weather Classification for Lidar based on Deep Learning

    Ma, Bing / Wang, Dengjiang / Ma, Gang et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Executable Digital Twin - Prevent the Early Failure of a Truck Anchorage Using Smart Virtual Sensors

    Cornelis, Bram / Buss, Dayane / Risaliti, Enrico et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems

    Watzenig, Daniel / Schratter, Markus / Wimmer, Peter et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Machine Health Prediction Enhancement Using Machine Learning

    Jalluri, Chandra / Kalamdani, Rajeev / Clifton, Robert et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Selection of Surrogate Models with Metafeatures

    Srinivasan, Akash / Kelkar, Atul / Turner, Cameron J. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Developing Safe Software for Autonomous Systems

    Ghribi, Atef / Di Camillo, Stephen | 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