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Synonyms were used for: deep learning • learning
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A two-layer integrated model for cyclist trajectory prediction considering multiple interactions with the environment

Li, Jianqiang / Ni, Ying / Sun, Jian | Elsevier | 2023

Keywords: Integrated framework , Deep learning

A Study of Correlation between Fishing Activity and AIS Data by Deep Learning

Free access

Kuan Yu Shen / Ying Jui Chu / Shwu Jing Chang et al. | DOAJ | 2020

Keywords: deep learning framework , deep learning , learning methods

Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach

Free access

Zhang, Da / Kabuka, Mansur R. | Wiley | 2018

Keywords: learning (artificial intelligence) , GRU‐based deep learning approach , gated recurrent unit‐based deep learning framework

Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

Free access

Zhang, Da / Kabuka, Mansur R. | IET | 2018

Keywords: learning (artificial intelligence) , GRU-based deep learning approach , gated recurrent unit-based deep learning framework

Research on Multi-target Recognition and Classification Strategy Based on Yolo v5 Framework

Sun, Tao / Liu, Boyu / Zheng, Ruidong et al. | Springer Verlag | 2022

Keywords: Yolo framework , Deep learning

Predicting driver behaviour at intersections based on driver gaze and traffic light recognition

Free access

Rahman, Md. Junaedur / Beauchemin, Steven S. / Bauer, Michael A. | IET | 2021

Keywords: deep learning (artificial intelligence) , deep learning framework

Predicting driver behaviour at intersections based on driver gaze and traffic light recognition

Free access

Rahman, Md. Junaedur / Beauchemin, Steven S. / Bauer, Michael A. | Wiley | 2020

Keywords: deep learning (artificial intelligence) , deep learning framework

Ship Recognition and Tracking System for Intelligent Ship Based on Deep Learning Framework

Free access

Bo Liu / Sheng Zheng Wang / Z.X. Xie et al. | DOAJ | 2019

Keywords: deep learning framework

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

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Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019

Keywords: hybrid deep learning framework , learning (artificial intelligence) , hybrid deep learning neural network , deep learning approach

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

Free access

Bao, Jie / Yu, Hao / Wu, Jiaming | Wiley | 2019

Keywords: hybrid deep learning neural network , deep learning approach , hybrid deep learning framework , learning (artificial intelligence)

Value-based deep reinforcement learning for adaptive isolated intersection signal control

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Wan, Chia-Hao / Hwang, Ming-Chorng | IET | 2018

Keywords: machine learning-based framework , learning (artificial intelligence) , deep Q-learning neural network , value-based deep reinforcement learning

Value‐based deep reinforcement learning for adaptive isolated intersection signal control

Free access

Wan, Chia‐Hao / Hwang, Ming‐Chorng | Wiley | 2018

Keywords: value‐based deep reinforcement learning , deep Q‐learning neural network , learning (artificial intelligence) , machine learning‐based framework

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

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Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | Wiley | 2019

Keywords: deep convolutional layers , deep cascaded multitask framework , learning (artificial intelligence)

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

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Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | IET | 2019

Keywords: deep convolutional layers , learning (artificial intelligence) , deep cascaded multitask framework

Multi‐receptive field graph convolutional neural networks for pedestrian detection

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Shen, Chao / Zhao, Xiangmo / Fan, Xing et al. | Wiley | 2019

Keywords: multireceptive field‐based framework , deep learning , learning (artificial intelligence)