61–80 von 123 Ergebnissen
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    Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

    Freier Zugriff
    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Schlagwörter: convolutional neural nets , hybrid deep learning framework , artificial neural network , hybrid deep learning neural network , convolutional neural network , deep learning approach , recurrent neural nets

      Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework

      Freier Zugriff
      Bao, Jie / Yu, Hao / Wu, Jiaming | Wiley | 2019
      Schlagwörter: hybrid deep learning neural network , convolutional neural network , convolutional neural nets , deep learning approach , artificial neural network , recurrent neural nets , hybrid deep learning framework

    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

    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)

    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

    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

    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

    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

    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

    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

    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

      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

    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 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

    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

    Recent Advances in Computer Vision Technologies for Lane Detection in Autonomous Vehicles

    Anto, Harshitha Devina / Malathi, G. / Kumar, G. Bharadwaja et al. | Springer Verlag | 2023
    Schlagwörter: Convolutional neural networks (CNN) , Recurrent neural network (RNN) , Region-based convolutional neural network (RCNN) , Deep reinforcement learning , Deep Q learning (DQLL) , Semantic segmentation network , 3D network models

    Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor

    Federici, Lorenzo / Scorsoglio, Andrea / Ghilardi, Luca et al. | AIAA | 2022
    Schlagwörter: Deep Convolutional Neural Network

    Ultra-Wideband Localization and Deep-Learning-Based Plant Monitoring Using Micro Air Vehicles

    Ching, Poh Ling / Tan, Shu Chuan / Ho, Hann Woei | AIAA | 2022
    Schlagwörter: Deep Convolutional Neural Network

    Simulated Evaluation of Navigation System for Multi-quadrotor Coordination in Search and Rescue

    Rafikh, Rayyan Muhammad / D’Souza, Jeane Marina | Springer Verlag | 2023
    Schlagwörter: Convolutional neural network , Deep learning

    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

    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