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Browsing Doctoral Theses by Thesis Supervisor "Yan, Wei Qi"

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    • Affective Computing Using Brain-Inspired Spiking Neural Networks 

      Tan, Clarence (Auckland University of Technology, 2021)
      The interaction between humans and computational devices are becoming more and more common with the advent of personal digital devices, wearable systems, and other technological interventions. The field of affective computing ...
    • Bioinformatics-inspired analysis for watermarked images with multiple print and scan 

      Garhwal, Abhimanyu Singh (Auckland University of Technology, 2018)
      Image identification and grouping through pattern analysis are the core problems in image analysis. In this thesis, the gap between bioinformatics and image analysis is bridged by using biologically-encoding and ...
    • Deep Learning Methods for Human Behavior Recognition 

      Lu, Jia (Auckland University of Technology, 2021)
      With the decreased costs of security monitoring equipment such as cameras, video surveillance has been broadly applied to our communities and public places. However, at present most of the surveillance systems acquire ...
    • Deep Neural Networks for Road Scene Perception in Autonomous Vehicles Using LiDARs and Vision Sensors 

      Mehtab, Sabeeha (Auckland University of Technology, 2022)
      Accurate object detection in road scenes is one of the most essential requirements of autonomous vehicles. Based on our findings, the existing solutions for autonomous vehicles rely on expensive 64 beams three-dimensional ...
    • Entropy-Based Optimization Strategies for Convolutional Neural Networks 

      Gowdra, Nidhi Nijagunappa (Auckland University of Technology, 2021)
      Deep convolutional neural networks are state-of-the-art for image classification and significant strides have been made to improve neural network model performance which can now even outperform human-level abilities. ...
    • Frequency Based Texture Feature Descriptors 

      Hu, Xinyu (Auckland University of Technology, 2017)
      A texture descriptor is a collection of quantified measurements of a texture’s properties. They are often used for classifying texture images and recognition of objects in an image that have repeated patterns. In the past, ...
    • Hyperspectral Imaging and Deep Learning for Food Safety Assessment 

      Al-Sarayreh, Mahmoud (Auckland University of Technology, 2020)
      Hyperspectral imaging (HSI) systems are valuable tools for merging both spectroscopic and computer vision technologies in a single system with the advantage of providing the physical attributes and chemical distribution ...
    • SARM: Synthetic Data Annotation for Enhancing the Experiences of Augmented Reality Application Based on Machine Learning 

      Le, Huy Khac Anh (Auckland University of Technology, 2022)
      Background and Objective: Augmented Reality is one of the fastest-growing fields, increasing funding for the last few years, as people realise the potential benefits of rendering virtual information in the real world. As ...

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