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    2chADCNN: A Template Matching Network for Season-Changing UAV Aerial Images and Satellite Imagery

    Freier Zugriff
    Yan Ren / Yuwei Liu / Zhenjia Huang et al. | DOAJ | 2023
    Schlagwörter: attention model

    06231 Abstracts Collection -- Towards Affordance-Based Robot Control

    Freier Zugriff
    Rome, Erich / Doherty, Patrick / Dorffner, Georg et al. | BASE | 2006
    Schlagwörter: attention models

    A behavioural approach of attention in preschoolers

    Danis, A. / Pecheux, M.-G. / Serres, J. et al. | British Library Conference Proceedings | 2005
    Schlagwörter: Attention

    A Biological Inspired Cognitive Framework for Memory-Based Multi-Sensory Joint Attention in Human-Robot Interactive Tasks

    Freier Zugriff
    Eldardeer O. / Gonzalez-Billandon J. / Grasse L. et al. | BASE | 2021
    Schlagwörter: joint attention

    Accident and Violation Patterns of Drivers with Chronic Medical Conditions

    J. A. Waller / J. T. Goo | NTIS | 1967
    Schlagwörter: Attention

    Accurate and efficient traffic participant detection based on optimized features and multi-scale localization confidence

    Liu, Yue / Shi, Ying / Xie, Changjun et al. | SAGE Publications | 2023
    Schlagwörter: adaptive attention module

    A Characteristic of a Navigator's Situation Awareness for Crossing Ships

    Freier Zugriff
    Chihiro Nishizaki / Takahiro Takemoto / Yoshiaki Kunieda | DOAJ | 2017
    Schlagwörter: Attention Area

    A comparison of the hazard perception ability of accident-involved and accident-free motorcycle riders

    Cheng, Andy S.K. / Ng, Terry C.K. / Lee, Hoe C. | Elsevier | 2011
    Schlagwörter: Visual attention

    A Comparison of Voice and Tone Warning Systems as a Function of Task Loading

    P. Kemmerling / R. Geiselhart / D. E. Thorburn et al. | NTIS | 1969
    Schlagwörter: Attention

    A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task

    Freier Zugriff
    Pekkanen, Jami Joonas Olavi / Lappi, Otto / Rinkkala, Paavo et al. | BASE | 2018
    Schlagwörter: visual attention

    A computational theory of visual attention

    Bundesen, C. / Royal Society; Great Britain| Novartis Foundation for Gerontological Research | British Library Conference Proceedings | 1999
    Schlagwörter: attention

    Action-based mechanisms of attention

    Tipper, S. P. / Howard, L. A. / Houghton, G. et al. | British Library Conference Proceedings | 1999
    Schlagwörter: attention

    A data-driven stacking fusion approach for pedestrian trajectory prediction

    Chen, Hao / Zhang, Xi / Yang, Wenyan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Attention Mechanism-Long Short-Term Memory Network (Att-LSTM)

    Additional Studies on Driver Information Processing

    J. W. Senders / J. L. Ward | NTIS | 1969
    Schlagwörter: Attention

    A Design of Global Workspace Model with Attention: Simulations of Attentional Blink and Lag-1 Sparing

    Freier Zugriff
    Huang, Wenjie / Chella, Antonio / Cangelosi, Angelo | BASE | 2022
    Schlagwörter: Attention

    ADU-Net: Semantic segmentation of satellite imagery for land cover classification

    Talha, Muhammad / Bhatti, Farrukh A. / Ghuffar, Sajid et al. | Elsevier | 2023
    Schlagwörter: Attention mechanism

    Advanced Gaze Visualizations for Three-dimensional Virtual Environments

    Freier Zugriff
    Stellmach, Sophie / Nacke, Lennart / Dachselt, Raimund | BASE | 2010
    Schlagwörter: attention

    A field study on the effects of digital billboards on glance behavior during highway driving

    Belyusar, Daniel / Reimer, Bryan / Mehler, Bruce et al. | Elsevier | 2015
    Schlagwörter: Driver attention

    A GATs-GAN framework for road traffic states forecasting

    Xu, Dongwei / Lin, Zhenqian / Zhou, Lei et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: graph attention network

    Aggressive driving behavior prediction considering driver’s intention based on multivariate-temporal feature data

    Xu, Wenxiang / Wang, Junhua / Fu, Ting et al. | Elsevier | 2021
    Schlagwörter: Attention mechanism