1–20 von 28 Ergebnissen
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    Drowsy Driving Detection Based on Deep Neural Network for Accident Avoidance

    Bandopadhyay, Srijita / Ray, IshanJyoti / Mondal, Shalini et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Convolutional neural networks (CNN) , Faster region-based convolutional neural network (F-RCNN)

    Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals

    Kim, Min-Hyun / Park, Jongchan / Choi, Seibum | Springer Verlag | 2021
    Schlagwörter: Deep convolutional neural network

    Research on Target Detection Based on Deep Learning

    Liao, Pengjun / Xu, Jinxiang / Guo, Shangkun et al. | Springer Verlag | 2022
    Schlagwörter: Convolutional neural network , Deep learning

    Shrinkage Crack Detection in Expansive Soil using Deep Convolutional Neural Network and Transfer Learning

    Andrushia, A. Diana / Neebha, T. Mary / Umadevi, S. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Deep convolutional neural network

    Deep Learning-Based Real-Time Crack Segmentation for Pavement Images

    Wang, Wenjun / Su, Chao | Springer Verlag | 2021
    Schlagwörter: Deep learning , Convolutional neural network

    A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

    Lee, Kanghyeok / Byun, Namju / Shin, Do Hyoung | Springer Verlag | 2020
    Schlagwörter: Convolutional neural network , Deep learning

    Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

    Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Springer Verlag | 2019
    Schlagwörter: deep convolutional neural network

    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

    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

    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

    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

    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

    Attendance and Security System Based on Building Video Surveillance

    Sun, Kailai / Zhao, Qianchuan / Zou, Jianhong et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , 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

    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

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Convolutional neural network

    Beach Wrack Identification on Unmanned Aerial Vehicles Dataset Using Artificial Intelligence for Coastal Environmental Management

    Adimoolam, M. / Maithili, K. / Leelavathy, S. et al. | Springer Verlag | 2023
    Schlagwörter: Back propagation workflow based convolutional neural network , Deep learning

    Near-Infrared Vascular Image Enhancement Using Deep Convolutional Neural Network

    Li, Yajie / Liu, Haoting / Wang, Yuan | Springer Verlag | 2022
    Schlagwörter: Deep Convolutional Neural Network

    Space Objects Classification via Light-Curve Measurements Using Deep Convolutional Neural Networks

    Linares, Richard / Furfaro, Roberto / Reddy, Vishnu | Springer Verlag | 2020
    Schlagwörter: Deep learning , Convolutional neural network