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251–300 von 425 Ergebnissen
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    Implementation of an experimental system for structural health monitoring in a turboprop commercial aircraft

    Bovio, Igor / Vannucchi, Giorgio / Lecce, Leonardo | Tema Archiv | 2006
    Schlagwörter: Lernen

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

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

    Active Output Selection for an HEV Boost Maneuver

    Prochaska, Adrian / Pillas, Julien / Bäker, Bernard | Springer Verlag | 2021
    Schlagwörter: Active 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

    Detecting Severe Thunderstorm Signatures Within Geostationary Satellite Imagery Using a Deep Learning Model

    J. W. Cooney / K. M. Bedka / C. A. Liles et al. | NTIS | 2022
    Schlagwörter: Deep learning model

    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

    Reinforcement-Learning-Based Robust Guidance for Asteroid Approaching

    Yang, Hongwei / Hu, Jincheng / Li, Shuang et al. | AIAA | 2024
    Schlagwörter: Reinforcement 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

    Train Regenerative Braking Strategy Optimization Based on Reinforcement Learning

    Zeng, Xiaoqing / Liu, Liqun / Yuan, Tengfei | Springer Verlag | 2023
    Schlagwörter: Reinforcement 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

    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

    Integrated Iterative Learning Control Strategy for Batch Processes

    Jia, Li / Yang, Tian / Chiu, Min-Sen | Springer Verlag | 2014
    Schlagwörter: integrated learning control , iterative learning control

    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

    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

    Environmental complexity, cerebral change, and behavior.

    Rosenzweig, M. R. | NTRS | 1966
    Schlagwörter: 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

    HPC and HPDA Projects in DLR Aeronautics and Space Research

    Freier Zugriff
    Basermann, Achim | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: machine learning

    The Study on a Fighter Against a Medium-range Air-to-air Missile Based on Deep Deterministic Policy Gradient Algorithm

    Freier Zugriff
    SONG Hongchuan / ZHAN Hao / XIA Lu et al. | DOAJ | 2021
    Schlagwörter: deep reinforcement learning

    Attitude Control in Unmanned Aerial Vehicles Using Reinforcement Learning—A Survey

    Agarwal, Varun / Ranjan Tewari, Rajiv | Springer Verlag | 2021
    Schlagwörter: Reinforcement learning

    A Review on Fatigue Detection and Management for Air Traffic Controllers

    Freier Zugriff
    SHEN Zhiyuan / WEI Yitao / YAN Yonggang et al. | DOAJ | 2021
    Schlagwörter: deep learning

    Applications of Machine Learning to Flight Dynamics Operations

    Slojkowski, Steven / Getchius, Joel / Michaels, Adam et al. | NTRS | 2018
    Schlagwörter: Machine Learning

    Machine Learning for Exploring Data Streams, with Lessons from the Very Long Baseline Array

    Thompson, David R. | NTRS | 2012
    Schlagwörter: machine learning

    Reinforcement learning-based autonomous generation technology for product oil tanker loading schemes

    Freier Zugriff
    Hongtao NI / Qingji ZHOU / Song CHAI et al. | DOAJ | 2024
    Schlagwörter: machine learning

    Software Development Cost: How Much? You Sure? Technical Summary

    Hihn, Jairus / Lum, Karen / Menzies, Tim et al. | NTRS | 2007
    Schlagwörter: machine learning

    Learn more about NASA Langley’s Crew Systems Capabilities!

    Angela Harrivel / Keith Arthur | NTRS
    Schlagwörter: Machine Learning

    Research on UAV Mission Assignment Considering Low-altitude Operating Environment

    Freier Zugriff
    LI Songrui / ZHANG Ming / WANG Mengmeng et al. | DOAJ | 2022
    Schlagwörter: opposite learning

    An online self-organizing neuro-fuzzy control for autonomous underwater vehicles

    Wang, Jeen-Shing / Lee, C.S.G. / Yuh, Junku | Tema Archiv | 1999
    Schlagwörter: Lernen

    Hierarchical Bayesian Networks for Predicting the Structural Behavior of Coupled Systems

    Stoll, Georg / Atzrodt, Heiko / Schmidt, Hendrik et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving

    Zhang, Dong / Wang, Guojun / Ni, Hailong et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Smart OTA Scheduling for Connected Vehicles using Prescriptive Analytics and Deep Reinforcement Learning

    Mohd Azmin, Farraen / Mustafa, Kenan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Prediction of Weather Impacted Airport Capacity using Ensemble Learning

    Wang, Yao Xun | NTRS | 2011
    Schlagwörter: Machine learning

    Responsible AI Framework for Air Traffic Management

    Parimal Kopardekar | NTRS
    Schlagwörter: machine learning

    Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking

    Moosmann, Marius / Spenrath, Felix / Mönnig, Manuel et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Modelling Aircraft Disturbance Fields for Magnetic Navigation Using Dense ANNs and the Novel MANNTL Architecture

    K. A. Emery | NTIS | 2021
    Schlagwörter: Machine learning , Supervised 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

    Learning classifiers for science event detection in remote sensing imagery

    Castano, Rebecca / Mazzoni, Dominic / Tang, Nghia et al. | NTRS | 2005
    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

    Towards the True Hybrid: Physics-Informed Trainable Models for Prognostics and Health Management

    Matteo Corbetta | NTRS
    Schlagwörter: Physics-Informed Machine Learning

    Deep Learning Based Fast Prediction and Optimization of Aerodynamic Performance for a Propeller with Gurney Flap

    Liu, Liu / Gao, Zeming / Wang, Tianqi et al. | Springer Verlag | 2024
    Schlagwörter: Deep 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

    Informationsverarbeitungsstrukturen zur Erhöhung der Roboterautonomie

    Matthiesen, J. | Tema Archiv | 1996
    Schlagwörter: Lernen

    Pengembangan Modul Pemrograman Visual berbasis Project Based Learning

    Freier Zugriff
    Fitria Nur Hasanah / Rahmania Sri Untari / Choirun Nisa Aulina et al. | DOAJ | 2022
    Schlagwörter: modul berbasis project based learning

    CAVTest: A Closed Connected and Automated Vehicles Test Field of Chang’an University in China

    Yang, Lan / Wang, RunMin / Zhao, XiangMo et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Stability Operations Challenges

    B. J. Tempest | NTIS | 2011
    Schlagwörter: Learning

    Long term conditioning of orienting responses.

    Ax, A. F. / Gale, E. N. | NTRS | 1968
    Schlagwörter: CONDITIONING (LEARNING)

    Generation of Optimized Trajectories for Congestion Mitigation in Fukuoka Approach Control Area Using Deep Reinforcement Learning

    Iwatsuki, Yota / Kawamoto, Yasutaka / Higashino, Shin-Ichiro | Springer Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine

    Mandal, Aditya / Arvanitis, Anastasios / Chien, Li-Chun et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning