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101–150 von 226 Ergebnissen
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    Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization

    Abe, Atsuji / Shintani, Kohei / Tsuchiyama, Minoru | 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

    Towards Assurance for Safety-Critical, Machine Learning-enabled Aviation Systems

    Natasha A Neogi / Sarah M Lehman | NTRS
    Schlagwörter: Machine learning

    ISVAR: In-Situ Validation of Augmented Reality

    S. M. Lehman | NTIS | 2022
    Schlagwörter: Machine learning

    HIGH-FIDELITY SIMULATION OF THE ADVANCED PLANETARY EXCAVATOR (APEX) MANIPULATOR FOR IN-SITU RESOURCE UTILIZATION TECHNOLOGY DEVELOPMENT

    A. Schepelmann / E. T. Rezich / K. A. Johnson et al. | NTIS | 2022
    Schlagwörter: Machine learning

    Driver’s Response Prediction Using Naturalistic Data Set

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

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services - Airport Configuration Prediction Model (ACPM)

    Shaymaa Khater / Juan Rebollo / William J Coupe | NTRS | 2021
    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

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services Departure Runway Model (DRM)

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning

    Safety Assurance Concepts for Automated Driving Systems

    Sarvi, Majid / Sweatman, Peter / Ballingall, Stuart | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services - Arrival Runway Model (ARM)

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning

    Materials Informatics at GRC

    Joshua Stuckner / Brandon Hearley | NTRS
    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

    New Approaches to Vehicle Health Management via a Digital Twin

    Klesing, Joe / Schmitt, Peter / Story, Michael | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Cloud-Based Predictive Diagnosis Using Machine Learning for Automotive EPGS

    Salah, Alia / Mohareb, Omar Abu / Reuss, Hans-Christian | Springer Verlag | 2022
    Schlagwörter: Machine learning

    What You Can Do with a Data Filter?

    Mandrake, Lukas | NTRS | 2013
    Schlagwörter: machine learning

    Clustering-Based Trajectory Prediction of Vehicles Interacting with Vulnerable Road Users

    Sonka, Adrian / Henze, Roman / Thal, Silvia | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    High Altitude Ice Crystal Detection with Aircraft X-band Weather Radar

    Lukas, Jan / Badin, Pavel | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Machine Learning Algorithm for the Prediction of Idle Combustion Uniformity

    Zouani, Abdelkrim / Li, Xiaoqi | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Autonomy Teaming & TRAjectories for Complex Trusted Operational Reliability: ATTRACTOR

    Natalia Alexandrov / Danette Allen | NTRS
    Schlagwörter: machine learning

    Prediction of Fuel Tankering in Aviation Industry with Machine Learning Algorithms

    Freier Zugriff
    İlker Güven Yılmaz / Elif Kartal / Zeki Özen et al. | DOAJ | 2021
    Schlagwörter: machine learning

    Estimating Helicopter Noise Abatement Information with Machine Learning

    E. Greenwood | NTIS | 2018
    Schlagwörter: Machine learning

    BrainStack: A Platform for Artificial Intelligence and Machine Learning Collaborative Experiments of a Nanosatellite

    M. Murbach / E. Barszcz / O. Hatamleh et al. | NTRS
    Schlagwörter: Machine Learning

    Developing Prediction Based Algorithms for Energy and Exergy Flow

    Kim, CDT Tae / James, LTC Corey / Jane, Robert | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case

    Ciampaglia, Alberto / De Gregorio, Alessandro / Mastropietro, Antonio et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    EARLY INFORMATION PARAMETER-SET ANALYSIS FOR SATELLITE CLOSE APPROACHES USING MACHINE LEARNING

    B I Robertson / A Mashiku | NTRS
    Schlagwörter: machine learning

    Prediction of Aircraft Estimated Time of Arrival Using A Supervised Learning Approach

    James Z Wells / Tejas G Puranik / Krishna M Kalyanam et al. | NTRS
    Schlagwörter: Machine learning

    Artificial Intelligence for Advanced Earth Science Information Systems

    Jacqueline Le Moigne | NTRS
    Schlagwörter: Machine Learning

    Development of Coated Gasoline Particulate Filter Design Method Combining Simulation and Multi-Objective Optimization

    Takahasi, Hiroaki / Maekawa, Ryosuke / Ota, Yuki | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Synthesis and Fatigue Life Optimization of a Spring-Less Compliant Robot Leg Design

    Khatavkar, Rohan Vijay / Bhattu, Ajay Pandit | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Review of Intelligent Algorithms for Autonomous Path Planning of UAVs

    Freier Zugriff
    Guo Qimin, Zhang Peng, Wang Yingyang, Wang Shi | DOAJ | 2023
    Schlagwörter: |uav|path planning|autonomy|intelligent evolutionary algorithm|machine learning algorithm

    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

    AI-based Parameter Optimization Method

    Applied for Vehicles with Dual Clutch Transmissions
    Schmiedt, Marius / Pawlenka, Andreas / Rinderknecht, Stephan | Springer Verlag | 2022
    Schlagwörter: Deep Learning , Machine Learning , Reinforcement Learning

    Machine Learning Based Parameter Calibration for Multi-Scale Material Modeling of Laser Powder Bed Fusion (L-PBF) AlSi10Mg

    Xu, Hongyi / Lai, Wei-Jen / Su, Xuming et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Vehicle Cabin Occupant Thermal Comfort Using Deep Learning and Computational Fluid Dynamics

    Warey, Alok / Khalighi, Bahram / Venkatesan, Ganesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Plausibility Assessment and Validation of Deep Learning Algorithms in Automotive Software Development

    Korthals, Felix / Stöcker, Marcel / Rinderknecht, Stephan | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Deep Learning-Based Queue-Aware Eco-Approach and Departure System for Plug-In Hybrid Electric Buses at Signalized Intersections: A Simulation Study

    Esaid, Danial / Ye, Fei / Wu, Guoyuan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    HIGH-FIDELITY SIMULATION OF THE ADVANCED PLANETARY EXCAVATOR (APEX) MANIPULATOR FOR IN-SITU RESOURCE UTILIZATION TECHNOLOGY DEVELOPMENT

    A. Schepelmann / E. T. Rezich / K. A. Johnson et al. | NTRS
    Schlagwörter: machine learning

    Microstructure Quantification With Deep Learning Encoders Pre-Trained on a Massive Microscopy Dataset

    Joshua Stuckner | NTRS
    Schlagwörter: machine learning , deep learning

    The role of autonomy in space exploration

    Smith, Benjamin D. | NTRS | 2001
    Schlagwörter: machine learning systems

    RouteE: A Vehicle Energy Consumption Prediction Engine

    Holden, Jacob / Cappellucci, Jeff / Reinicke, Nicholas | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles

    Dubey, Abhishek / Laszka, Aron / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    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

    Physics-Based Misbehavior Detection System for V2X Communications

    Andrade Salazar, Alejandro Antonio / Petit, Jonathan / McDaniel, Patrick Drew et al. | SAE Technical Papers | 2022
    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

    Ride Comfort Improvement with Preview Control Semi-active Suspension System Based on Supervised Deep Learning

    Gu, Cansong / Shi, Chenlu / Su, Lili et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Review of UAV Obstacle Avoidance Algorithms

    Freier Zugriff
    Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei | DOAJ | 2021
    Schlagwörter: |uav|obstacle avoidance|optimization|potential field|machine learning|artificial intelligence|autonomous control