Synonyme wurden verwendet für: Deep Learning
Suche ohne Synonyme: keywords:("Deep Learning")

1–50 von 560 Ergebnissen
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    GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

    Guo, Jingqiu / Liu, Yangzexi / Yang, Qingyan (Ken) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Highway crash detection and risk estimation using deep learning

    Huang, Tingting / Wang, Shuo / Sharma, Anuj | Elsevier | 2019
    Schlagwörter: Deep learning

    A novel passenger flow prediction model using deep learning methods

    Liu, Lijuan / Chen, Rung-Ching | Elsevier | 2017
    Schlagwörter: Deep learning

      A novel passenger flow prediction model using deep learning methods

      Liu, Lijuan | Online Contents | 2017
      Schlagwörter: Deep learning

    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Deep learning

    Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks

    Wang, Shenhao / Mo, Baichuan / Zhao, Jinhua | Elsevier | 2021
    Schlagwörter: Deep learning

    Deep learning for short-term traffic flow prediction

    Polson, Nicholas G. / Sokolov, Vadim O. | Elsevier | 2017
    Schlagwörter: Deep Learning

    Deep learning and big data for intelligent transportation : enabling technologies and future trends

    Ahmed, Khaled R. / Hassanien, Aboul Ella | TIBKAT | 2021
    Schlagwörter: Deep learning

    Deep-learning for ionogram automatic scaling

    Xiao, Zhuowei / Wang, Jian / Li, Juan et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

    Basso, Franco / Pezoa, Raúl / Varas, Mauricio et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    A novel method for predicting and mapping the occurrence of sun glare using Google Street View

    Li, Xiaojiang / Cai, Bill Yang / Qiu, Waishan et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

    Li, Linchao / Zhu, Jiasong / Zhang, Hailong et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Deep learning of user behavior in shared spaces

    Cheng, Hao / Gottfried Wilhelm Leibniz Universität Hannover | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning of user behavior in shared spaces

      Cheng, Hao / Gottfried Wilhelm Leibniz Universität Hannover | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system

    Hao, Siyu / Lee, Der-Horng / Zhao, De | Elsevier | 2019
    Schlagwörter: Deep learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Applications of deep learning in congestion detection, prediction and alleviation: A survey

    Kumar, Nishant / Raubal, Martin | Elsevier | 2021
    Schlagwörter: Deep learning

    One day ahead prediction of global TEC using Pix2pixhd

    Yang, Ding / Li, Qingfeng / Fang, Hanxian et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning

    DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending

    Dai, Xingyuan / Fu, Rui / Zhao, Enmin et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways

    Lee, Seunghyeon / Ngoduy, Dong / Keyvan-Ekbatani, Mehdi | Elsevier | 2019
    Schlagwörter: Deep learning

    WilDa - Dynamische Wildunfallwarnung unter Verwendung heterogener Verkehrs-, Unfall- und Umweltdaten sowie Big Data Ansätze : Abschlussbericht aller Partner : im Rahmen der Fördermaßnahme: Modernitätsfonds/mFUND/Förderlinie 2 des BMI : Berichtszeitraum: 01.04.2017-30.09.2020

    Technische Hochschule Deggendorf, Institut für Angewandte Informatik / Albert-Ludwigs-Universität Freiburg, Professur für Wildtierökologie und Wildtiermanagement / Technische Hochschule Deggendorf, Institut für Existenzgründung | TIBKAT | 2021
    Schlagwörter: Deep learning

    Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework

    Li, Jinlong / Xu, Zhigang / Fu, Lan et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Imbalanced satellite telemetry data anomaly detection model based on Bayesian LSTM

    Chen, Junfu / Pi, Dechang / Wu, Zhiyuan et al. | Elsevier | 2020
    Schlagwörter: Bayesian deep learning

    Train Track Crack Classification Using CNN

    Kumar, Manish / Visalakshi, P. | Trans Tech Publications | 2023
    Schlagwörter: Deep Learning

    Applying deep learning models to twitter data to detect airport service quality

    Barakat, H. / Yeniterzi, R. / Martín-Domingo, L. | Elsevier | 2020
    Schlagwörter: Deep learning

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Recurrent and convolutional neural networks for deep terrain classification by autonomous robots

    Vulpi, Fabio / Milella, Annalisa / Marani, Roberto et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

    Li, Guopeng / Knoop, Victor L. / van Lint, Hans | Elsevier | 2021
    Schlagwörter: Deep learning

    Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

    Zhao, Jingya / Liu, Pan / Xu, Chengcheng et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Roadside video data analysis : deep learning

    Verma, Brijesh / Zhang, Ligang / Stockwell, David | SLUB | 2017
    Schlagwörter: Deep learning

    Explainable, automated urban interventions to improve pedestrian and vehicle safety

    Bustos, C. / Rhoads, D. / Solé-Ribalta, A. et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

    Asghari Beirami, Behnam / Mokhtarzade, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    Deep learning-based spacecraft relative navigation methods: A survey

    Song, Jianing / Rondao, Duarte / Aouf, Nabil | Elsevier | 2021
    Schlagwörter: Deep learning

    A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data

    Dabiri, Sina / Marković, Nikola / Heaslip, Kevin et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique

    Prasad, Amrita / Roy, Soumya / Sarkar, Arindam et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Assessing bikeability with street view imagery and computer vision

    Ito, Koichi / Biljecki, Filip | Elsevier | 2021
    Schlagwörter: Deep learning

    Real-time crash risk prediction on arterials based on LSTM-CNN

    Li, Pei / Abdel-Aty, Mohamed / Yuan, Jinghui | Elsevier | 2019
    Schlagwörter: Deep learning

    Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach

    Pang, Yutian / Zhao, Xinyu / Yan, Hao et al. | Elsevier | 2021
    Schlagwörter: Bayesian deep learning

    Detecting motorcycle helmet use with deep learning

    Siebert, Felix Wilhelm / Lin, Hanhe | Elsevier | 2019
    Schlagwörter: Deep learning

    Deep learning methods for automotive radar signal processing

    Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning methods for automotive radar signal processing

      Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    The automated prediction of solar flares from SDO images using deep learning

    Abed, Ali K / Qahwaji, Rami / Abed, Ahmed | Elsevier | 2021
    Schlagwörter: Deep learning

    Traffic Speed Prediction for Urban Arterial Roads Using Deep Neural Networks

    Adu-Gyamfi, Yaw / Zhao, Mo | ASCE | 2018
    Schlagwörter: Deep learning

    Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

    Xing, Yang / Lv, Chen / Cao, Dongpu et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Graph attention temporal convolutional network for traffic speed forecasting on road networks

    Zhang, Ke / He, Fang / Zhang, Zhengchao et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction

    Cui, Zhiyong / Ke, Ruimin / Pu, Ziyuan et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Reconstruction and prediction of the rotor wake flow field in hovering state

    Gao, Hanting / Gao, Lei / Shi, Zheyu et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    The impacts of visual street environments on obesity: The mediating role of walking behaviors

    Kim, Ji-Il / Yu, Chia-Yuan / Woo, Ayoung | Elsevier | 2023
    Schlagwörter: Deep learning