1–50 von 121 Ergebnissen
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    Vehicle Color Recognition With Spatial Pyramid Deep Learning

    Hu, Chuanping | Online Contents | 2015
    Schlagwörter: deep learning , convolutional neural network (CNN) , Neural networks

    Deep Learning Approach to Detection of Preceding Vehicle in Advanced Driver Assistance

    Forczmański, Paweł / Nowosielski, Adam | Springer Verlag | 2016
    Schlagwörter: Deep learning , Convolutional neural network

    Robot-aided cloth classification using depth information and CNNs

    Freier Zugriff
    Gabas Nova, Antonio / Corona Puyane, Enric / Alenyà Ribas, Guillem et al. | BASE | 2016
    Schlagwörter: neural nets , deep convolutional neural network

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Schlagwörter: Deep learning (DL) , Fusion convolutional long short-term memory network (FCL-Net) , Convolutional neural network (CNN)

    Guide to convolutional neural networks : a practical application to traffic-sign detection and classification

    Aghdam, Hamed Habibi / Heravi, Elnaz Jahani | TIBKAT | 2017
    Schlagwörter: Deep learning , Convolutional Neural Network

    Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception

    Freier Zugriff
    Young J. / Basile V. / Suchi M. et al. | BASE | 2017
    Schlagwörter: Convolutional Neural Network , Deep vision

    Extensive exploration of comprehensive vehicle attributes using D‐CNN with weighted multi‐attribute strategy

    Freier Zugriff
    Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | Wiley | 2018
    Schlagwörter: deep convolutional neural network , feedforward neural nets

      Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy

      Freier Zugriff
      Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | IET | 2017
      Schlagwörter: feedforward neural nets , deep convolutional neural network

    Artificial intelligence for traffic signal control based solely on video images

    Jeon, Hyunjeong / Lee, Jincheol / Sohn, Keemin | Taylor & Francis Verlag | 2018
    Schlagwörter: convolutional neural network (CNN) , deep learning

    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

    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

    Lateral distance detection model based on convolutional neural network

    Freier Zugriff
    Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | Wiley | 2019
    Schlagwörter: improved image quilting algorithm , neural nets , convolutional neural network , deep learning model

      Lateral distance detection model based on convolutional neural network

      Freier Zugriff
      Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | IET | 2018
      Schlagwörter: deep learning model , neural nets , convolutional neural network , improved image quilting algorithm

    Automated visual inspection of target parts for train safety based on deep learning

    Freier Zugriff
    Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | IET | 2018
    Schlagwörter: neural nets , composite neural network , deep learning , stacked auto-encoder convolutional neural network

      Automated visual inspection of target parts for train safety based on deep learning

      Freier Zugriff
      Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | Wiley | 2018
      Schlagwörter: composite neural network , neural nets , stacked auto‐encoder convolutional neural network , deep learning

    Innovative method for traffic data imputation based on convolutional neural network

    Freier Zugriff
    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | Wiley | 2019
    Schlagwörter: convolutional neural network , deep‐learning method , feedforward neural nets

      Innovative method for traffic data imputation based on convolutional neural network

      Freier Zugriff
      Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | IET | 2018
      Schlagwörter: feedforward neural nets , convolutional neural network , deep-learning method

    Hyper‐parameters optimisation of deep CNN architecture for vehicle logo recognition

    Freier Zugriff
    Soon, Foo Chong / Khaw, Hui Ying / Chuah, Joon Huang et al. | Wiley | 2018
    Schlagwörter: deep CNN architecture , deep convolutional neural network architecture , network convergence , feedforward neural nets

      Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition

      Freier Zugriff
      Soon, Foo Chong / Khaw, Hui Ying / Chuah, Joon Huang et al. | IET | 2018
      Schlagwörter: deep convolutional neural network architecture , network convergence , feedforward neural nets , deep CNN architecture

    Smart parking sensors, technologies and applications for open parking lots: a review

    Freier Zugriff
    Paidi, Vijay / Fleyeh, Hasan / Håkansson, Johan et al. | Wiley | 2018
    Schlagwörter: convolutional neural network , deep learning , feedforward neural nets

      Smart parking sensors, technologies and applications for open parking lots: a review

      Freier Zugriff
      Paidi, Vijay / Fleyeh, Hasan / Håkansson, Johan et al. | IET | 2018
      Schlagwörter: feedforward neural nets , convolutional neural network , deep learning

    Real‐time detection of distracted driving based on deep learning

    Freier Zugriff
    Tran, Duy / Manh Do, Ha / Sheng, Weihua et al. | Wiley | 2018
    Schlagwörter: residual network , neural nets , deep convolutional neural networks , deep learning

      Real-time detection of distracted driving based on deep learning

      Freier Zugriff
      Tran, Duy / Manh Do, Ha / Sheng, Weihua et al. | IET | 2018
      Schlagwörter: deep convolutional neural networks , neural nets , deep learning , residual network

    3D vehicle detection on an FPGA from LiDAR point clouds

    Freier Zugriff
    García López, Javier / Moreno-Noguer, Francesc / Agudo, Antonio | BASE | 2019
    Schlagwörter: Deep learning , Convolutional Neural Network

    An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction

    Lee, Seunghyeon / Xie, Kun / Ngoduy, Dong et al. | Elsevier | 2019
    Schlagwörter: Long short-term memory network , Convolutional neural network , Deep learning

    A novel CNN-DDPG based AI-trader: Performance and roles in business operations

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Schlagwörter: Deep deterministic policy gradient , Convolutional neural network

    Sistem Pengenal Isyarat Tangan Untuk Mengendalikan Gerakan Robot Beroda menggunakan Convolutional Neural Network

    Freier Zugriff
    Adi, Habib Astari / Candradewi, Ika | BASE | 2019
    Schlagwörter: deep learning , convolutional neural network

    Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor

    Zhu, Xiaobin / Cai, Zun / Wu, Jianjun et al. | Elsevier | 2019
    Schlagwörter: Convolutional neural network , ANN , Artificial Neural Network , Deep Learning , Convolutional Neural Network , Deep Convolutional Neural Network , Single-hidden Layer Feedforward Neural Network , kNN

    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

      Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

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

    Deep Learning-Based Damage Detection from Aerial SfM Point Clouds

    Freier Zugriff
    Mohammad Ebrahim Mohammadi / Daniel P. Watson / Richard L. Wood | DOAJ | 2019
    Schlagwörter: three-dimensional convolutional neural network , deep learning

    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

    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

    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

    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

    Deep learning-based vehicle detection with synthetic image data

    Freier Zugriff
    Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | IET | 2019
    Schlagwörter: convolutional neural network-based object detectors , neural nets , deep learning-based vehicle detection

      Deep learning‐based vehicle detection with synthetic image data

      Freier Zugriff
      Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | Wiley | 2019
      Schlagwörter: convolutional neural network‐based object detectors , deep learning‐based vehicle detection , neural nets

    Obstacle Avoidance for an Autonomous Robot Car using Deep Learning ; En autonom robotbil undviker hinder med hjälp av djupinlärning

    Freier Zugriff
    Norén, Karl | BASE | 2019
    Schlagwörter: deep learning , convolutional neural network

    Deep learning-based helmet wear analysis of a motorcycle rider for intelligent surveillance system

    Freier Zugriff
    Yogameena, B. / Menaka, K. / Saravana Perumaal, S. | IET | 2019
    Schlagwörter: convolutional neural nets , region-based convolutional neural network , deep learning-based helmet wear analysis

      Deep learning‐based helmet wear analysis of a motorcycle rider for intelligent surveillance system

      Freier Zugriff
      Yogameena, B. / Menaka, K. / Saravana Perumaal, S. | Wiley | 2019
      Schlagwörter: deep learning‐based helmet wear analysis , convolutional neural nets , region‐based convolutional neural network

    Supervised learning mixing characteristics of film cooling in a rocket combustor using convolutional neural networks

    Ma, Hao / Zhang, Yu-xuan / Haidn, Oskar J. et al. | Elsevier | 2020
    Schlagwörter: Deep learning , Convolutional neural network

    A Deep Neural Network Sensor for Visual Servoing in 3D Spaces

    Freier Zugriff
    Durdevic, Petar / Ortiz Arroyo, Daniel | BASE | 2020
    Schlagwörter: Deep Neural Networks , Deep convolutional neural network

    Cattle Detection Using Oblique UAV Images

    Freier Zugriff
    Jayme Garcia Arnal Barbedo / Luciano Vieira Koenigkan / Patrícia Menezes Santos | DOAJ | 2020
    Schlagwörter: convolutional neural network , deep learning

    Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network

    Ke, Jintao / Qin, Xiaoran / Yang, Hai et al. | Elsevier | 2020
    Schlagwörter: Multi-graph convolutional neural network , Deep learning model

    Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data

    Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2020
    Schlagwörter: Deep Learning , Deep Neural Network , Recurrent Neural Network , Convolutional Neural Network

    Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach

    Wang, Hong-Wei / Peng, Zhong-Ren / Wang, Dongsheng et al. | Elsevier | 2020
    Schlagwörter: Graph Convolutional Neural Network , Deep Learning

    Enabling Real-Time Quality Inspection in Smart Manufacturing Through Wearable Smart Devices and Deep Learning

    Freier Zugriff
    Sarivan, Ioan-Matei / Greiner, Johannes / Díez Alvarez, Daniel et al. | BASE | 2020
    Schlagwörter: Deep Learning , Convolutional Neural Network

    Deep temporal motion descriptor (DTMD) for human action recognition

    Freier Zugriff
    Nida, Nudrat / Yousaf, Muhammad Haroon / Irtaza, Aun et al. | BASE | 2020
    Schlagwörter: Deep convolutional neural network , Deep Temporal Motion Descriptor (DTMD)

    Deep Learning Classification of 2D Orthomosaic Images and 3D Point Clouds for Post-Event Structural Damage Assessment

    Freier Zugriff
    Yijun Liao / Mohammad Ebrahim Mohammadi / Richard L. Wood | DOAJ | 2020
    Schlagwörter: convolutional neural network , deep learning

    Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

    Freier Zugriff
    Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | IET | 2020
    Schlagwörter: convolutional neural nets , three-dimensional convolutional neural network , deep-learning technologies , graph convolutional network , multigraph convolutional network

      Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit

      Freier Zugriff
      Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | Wiley | 2020
      Schlagwörter: multigraph convolutional network , deep‐learning technologies , graph convolutional network , three‐dimensional convolutional neural network , convolutional neural nets

    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

    Object detection and recognition with event driven cameras

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

    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

    Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

    Freier Zugriff
    Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | IET | 2020
    Schlagwörter: convolutional neural nets , structured convolutional neural networks model , overfitting-preventing deep neural network

      Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

      Freier Zugriff
      Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | Wiley | 2020
      Schlagwörter: structured convolutional neural networks model , overfitting‐preventing deep neural network , convolutional neural nets

    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

    Driver identification using 1D convolutional neural networks with vehicular CAN signals

    Freier Zugriff
    Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | IET | 2021
    Schlagwörter: convolutional neural nets , convolutional-pooling layers , one-dimensional convolutional neural network , 1D convolutional neural networks , vehicular controller area network bus signals , deep learning framework

      Driver identification using 1D convolutional neural networks with vehicular CAN signals

      Freier Zugriff
      Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | Wiley | 2020
      Schlagwörter: vehicular controller area network bus signals , 1D convolutional neural networks , deep learning framework , convolutional neural nets , one‐dimensional convolutional neural network , convolutional‐pooling layers

    Convolutional LSTM based transportation mode learning from raw GPS trajectories

    Freier Zugriff
    Nawaz, Asif / Zhiqiu, Huang / Senzhang, Wang et al. | Wiley | 2020
    Schlagwörter: convolution neural network , recurrent neural nets , deep learning‐based convolutional long short term memory model , convolutional neural nets , convolutional LSTM‐based transportation mode

    Identification of Partially Resolved Objects in Space Imagery with Convolutional Neural Networks

    Ertl, Christopher A. / Christian, John A. | Springer Verlag | 2020
    Schlagwörter: Deep learning , Convolutional neural network

    Short‐term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

    Freier Zugriff
    Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | Wiley | 2020
    Schlagwörter: recurrent neural nets , neural nets , graph convolutional recurrent neural network , deep learning model

      Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

      Freier Zugriff
      Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | IET | 2020
      Schlagwörter: deep learning model , graph convolutional recurrent neural network , neural nets , recurrent neural nets