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1–50 von 195 Ergebnissen
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    AI-Based Virtual Sensing of Gaseous Pollutant Emissions at the Tailpipe of a High-Performance Vehicle

    Brusa, Alessandro / Petrone, Boris / Giovannardi, Emanuele et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    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

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Machine Learning-Based Modeling and Predictive Control of Combustion Phasing and Load in a Dual-Fuel Low-Temperature Combustion Engine

    Sarangi, Asish Kumar / Punasiya, Mohit | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments

    Timothy Darrah / Jeremy Frank / Marcos Quiñones-Grueiro et al. | NTRS | 2024
    Schlagwörter: Machine Learning

    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles

    Lv, Chen / Chen, Hao / He, Xiangkun | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

    Rameshkumar, K. / Kochukrishnan, Praveen / Srihari, S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation

    Ebrahimi, Khashayar / Patidar, Lalit / Fogla, Navin et al. | SAE Technical Papers | 2023
    Schlagwörter: 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
    Schlagwörter: Machine learning

    A Review of Intelligence-Based Vehicles Path Planning

    Hao, Bing / Zhao, JianShuo / Wang, Qi | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

    Jitsu, Hideo / Kumano, Kengo / Amaya, Kenji et al. | SAE Technical Papers | 2023
    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

    Distilled Routing Transformer for Driving Behavior Prediction

    Yi, Jiangang / Gao, Jun / Murphey, Yi Lu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Material Recognition Technology of Internal Loose Particles in Sealed Electronic Components Based on Random Forest

    Jiang, Aiping / Wang, Guotao / Yan, Huizhen et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Automated Expert Knowledge-Based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management

    Xu, Bin / Wang, Hanchen / Zhang, Jiangfeng et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Mild Hybrid Electric Vehicle Powertrain Control Using Offline–Online Hybrid Deep Reinforcement Learning Strategy

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning

    Zhu, Xuebin / Yu, Zhenghong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads

    Hamersma, Herman A. / Abreu, Ricardo / Botha, Theunis R. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

    Wimmer, Andreas / Laubichler, Christian / Negri, Claudio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Recurrent Neural Network Model for On-Board Estimation of the Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle

    King, Julian / Fainello, Marco / Ballesio, Stefano et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Investigations on Multiple Injection Strategies in a Common Rail Diesel Engine Using Machine Learning and Image-Processing Techniques

    Vaze, Abhijeet / Krishnasamy, Anand / Mehta, Pramod S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    The Path to Safe Machine Learning for Automotive Applications

    Burton, Simon | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model

    Sequoia R Andrade / Hannah S Walsh | NTRS | 2023
    Schlagwörter: Machine Learning

    Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach

    V, Muralidharan / D, Pradeep Kumar / Santhanam, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine

    AlRamadan, Abdullah S. / Mohan, Balaji / Badra, Jihad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A camera self-health-maintenance system based on sensor artificial intelligence

    Freier Zugriff
    Wischow, Maik / Gallego, Guillermo / Ernst, Ines et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Predictive Modeling of Aircraft Dynamics Using Neural Networks

    Tullock, Charles / Khosla, Deepak / Hung, Fan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Multi-part Analysis and Techniques for Air Traffic Speech Recognition

    Srinivasan, Narayanan / Balasundaram, S. R. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Simulation of Telemetry Signals of a Car Using Machine Learning

    Revi, Krishna / Munet, Rahul / Vijaya Kumar, Santhosh Kumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    The Missing Link: Developing a Safety Case for Perception Components in Automated Driving

    Huang, Chengjie / Kuwajima, Hiroshi / Yasuoka, Hirotoshi et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

    Dattaguru, B. / Nambisan, Savitha Narayanan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning

    Zhu, Feng / Logakannan, Krishna | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding

    Rothwell, Benjamin / Rengasamy, Divish / Figueredo, Grazziela P. et al. | SAE Technical Papers | 2022
    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

    A Reduced-Order Modeling Framework for Simulating Signatures of Faults in a Bladed Disk

    Agrawal, Atul / Roy Mahapatra, Debiprosad / Singh, Divya Shyam | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine-Learning-Based Emission Models in Gasoline Powertrains—Part 2: Virtual Carbon Monoxide

    Sharpe, Conner / Kubinski, David / Shahabi, Mehrdad et al. | SAE Technical Papers | 2022
    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

    Supervised Learning Classification Applications in Fault Detection and Diagnosis: An Overview of Implementations in Unmanned Aerial Systems

    Francis, Clovis / Attieh, Hadi / Shraim, Hassan 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

    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

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

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

    Machine Learning Models for Weld Quality Monitoring in Shielded Metal Arc Welding Process Using Arc Signature Features

    Sumesh, A. / Vignesh, A. / Sankaran, J. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation

    Brown, Barclay / Travers, Christophe / Gingins, Corinne et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Driving Behavior Modelling Framework for Intelligent Powertrain Health Management

    Doikin, Aleksandr / Lin, Chunxing / Angiolini, Emanuele et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning