61–80 von 124 Ergebnissen
|

    AI-based movement planning for autonomous and teleoperated vehicles including the development of a simulation environment an intelligent agent

    Freier Zugriff
    Thomas Nützel | BASE | 2018
    Schlagwörter: Neural Network , Deep Learning , Convolutional Neural Network

    Development of Real-Time Unmanned Aerial Vehicle Urban Object Detection System with Federated Learning

    Lu, You-Ru / Sun, Dengfeng | AIAA | 2024
    Schlagwörter: Deep Convolutional Neural Network

    Convolutional Neural Networks for Flexible Payload Management in VHTS Systems

    Freier Zugriff
    Ortiz-Gomez, Flor G. / Tarchi, Daniele / Martinez, Ramon et al. | BASE | 2021
    Schlagwörter: convolutional neural network (CNN) , deep learning (DL)

    Object detection and recognition with event driven cameras

    Freier Zugriff
    IACONO, MASSIMILIANO | BASE | 2020
    Schlagwörter: deep learning , spiking neural network , convolutional neural network

    Wire Databases Generation Using Deep Learning Methods for Rotorcraft Wire Strike Prevention

    Achour, Gabriel / Harris, Caleb / Payan, Alexia P. et al. | AIAA | 2024
    Schlagwörter: Deep Learning , Convolutional Neural Network , Pole Locations and Wire Network Prediction

    DQN-Based Deep Reinforcement Learning for Autonomous Driving

    Pérez-Gil, Óscar / Barea, Rafael / López-Guillén, Elena et al. | Springer Verlag | 2020
    Schlagwörter: Convolutional neural network , Deep q-network agent

    Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short‐term memory units

    Freier Zugriff
    Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | Wiley | 2019
    Schlagwörter: deep convolutional layers , neural nets , fatigue driving recognition network , end‐to‐end trainable convolutional neural network , deep cascaded multitask framework

      Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short-term memory units

      Freier Zugriff
      Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | IET | 2019
      Schlagwörter: deep convolutional layers , fatigue driving recognition network , end-to-end trainable convolutional neural network , neural nets , deep cascaded multitask framework

    Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques

    Jain, Aditi / Harper, Matthew / Jayabalan, Manoj et al. | Springer Verlag | 2023
    Schlagwörter: Deep convolutional neural network , Fully convolutional network

    Heat Flux Prediction of Radiation Balance Wall by Deep Convolutional Neural Networks

    Dai, Gang / Zhao, Wenwen / Yao, Shaobo et al. | AIAA | 2024
    Schlagwörter: Deep Convolutional Neural Network

    Prediction of wing buffet pressure loads using a convolutional and recurrent neural network framework

    Freier Zugriff
    Zahn, R. / Weiner, A. / Breitsamter, C. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Convolutional autoencoder , Long short-term memory neural network

    Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification

    Freier Zugriff
    Liu, Zhanwen / Shen, Chao / Fan, Xing et al. | IET | 2020
    Schlagwörter: scale-aware multitask region proposal network module , neural nets , deformable convolutional neural networks , region-based deep convolutional neural network framework

    Image-Based Deep Reinforcement Meta-Learning for Autonomous Lunar Landing

    Scorsoglio, Andrea / D’Ambrosio, Andrea / Ghilardi, Luca et al. | AIAA | 2021
    Schlagwörter: Deep Convolutional Neural Network

    Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems

    Thiruloga, Sooryaa Vignesh / Kukkala, Vipin Kumar / Pasricha, Sudeep | Springer Verlag | 2023
    Schlagwörter: Deep convolutional neural network

    Vehicle detection systems for intelligent driving using deep convolutional neural networks

    Freier Zugriff
    Rahib Abiyev / Murat Arslan | DOAJ | 2023
    Schlagwörter: Deep learning , Convolutional neural network

    Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games

    Strickland, Laura G. / Gombolay, Matthew C. | AIAA | 2023
    Schlagwörter: Convolutional Neural Network , Deep Learning

    Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications

    Dunkel, Emily R. / Swope, Jason / Candela, Alberto et al. | AIAA | 2023
    Schlagwörter: Convolutional Neural Network , Deep Learning

    A Scalable Multi-agent Reinforcement Learning Approach for the Dynamic Taxi Dispatch Problem

    Alhusin, Mohammed / Pasquier, Michel / Barlas, Gerassimos | Springer Verlag | 2022
    Schlagwörter: Deep Q-learning , Convolutional Neural Network

    Deep learning-based real-time fine-grained pedestrian recognition using stream processing

    Freier Zugriff
    Zhang, Weishan / Wang, Zhichao / Liu, Xin et al. | IET | 2018
    Schlagwörter: deep learning-based real-time fine-grained pedestrian recognition , improved single-shot detector , improved convolutional neural network , neural nets

      Deep learning‐based real‐time fine‐grained pedestrian recognition using stream processing

      Freier Zugriff
      Zhang, Weishan / Wang, Zhichao / Liu, Xin et al. | Wiley | 2018
      Schlagwörter: deep learning‐based real‐time fine‐grained pedestrian recognition , neural nets , improved single‐shot detector , improved convolutional neural network

    Inverse Design of Airfoil Using a Deep Convolutional Neural Network

    Sekar, Vinothkumar / Zhang, Mengqi / Shu, Chang et al. | AIAA | 2019
    Schlagwörter: Deep Convolutional Neural Network

    Fast Parking Slot Detection in the Bird's Eye View

    Wan, Chenglin / Wang, Weida / Yang, Chao et al. | Springer Verlag | 2023
    Schlagwörter: Deep convolutional neural network