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  • Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author
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Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author "Yan, WQ"

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    • Applying Visual Cryptography to Enhance Text Captchas 

      Yan, X; Liu, F; Yan, WQ; Lu, Y
      Nowadays, lots of applications and websites utilize text-based captchas to partially protect the authentication mechanism. However, in recent years, different ways have been exploited to automatically recognize text-based ...
    • Colorizing Grayscale CT Images of Human Lungs Using Deep Learning Methods 

      Yan, WQ; Wang, Y (Springer, 2022)
      Image colorization refers to computer-aided rendering technology which transfers colors from a reference color image to grayscale images or video frames. Deep learning elevated notably in the field of image colorization ...
    • Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging 

      Song, Z; Tomasetto, F; Niu, X; Yan, WQ; Jiang, J; Li, Y (American Association for the Advancement of Science (AAAS), 2022)
      Traditional methods used to monitor the aboveground biomass (AGB) and belowground biomass (BGB) of slash pine (<jats:italic>Pinus elliottii</jats:italic>) rely on on-ground measurements, which are time- and cost-consuming ...
    • Grading Methods for Fruit Freshness Based on Deep Learning 

      Fu, Y; Nguyen, M; Yan, WQ (Springer Science and Business Media LLC, 2022)
      Fruit freshness grading is an innate ability of humans. However, there was not much work focusing on creating a fruit grading system based on digital images in deep learning. The algorithm proposed in this article has the ...
    • Human Gait Recognition Based on Frame-by-frame Gait Energy Images and Convolutional Long Short Term Memory 

      Wang, X; Yan, WQ
      Human gait recognition is one of the most promising biometric technologies, especially for unobtrusive video surveillance and human identification from a distance. Aiming at improving recognition rate, in this paper we ...
    • A Hybrid CTC+Attention Model Based on End-to-End Framework for Multilingual Speech Recognition 

      Liang, S; Yan, WQ
      Speech recognition is an important field in natural language processing. In this paper, the end-to-end framework for speech recognition with multilingual datasets is proposed. The end-to-end methods do not require complicated ...
    • Traffic Sign Recognition Based on Deep Learning 

      Zhu, Y; Yan, WQ
      Intelligent Transportation System (ITS), including unmanned vehicles, has been gradually matured despite on road. How to eliminate the interference due to various environmental factors, carry out accurate and efficient ...

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