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Contact


Email

zay.aye@unimelb.edu.au

Credentials


Position
Research Assistant in Transport Engineering
Department of Infrastructure Engineering
Education
PhD
University of Melbourne
ORCID

0000-0003-1686-2759

Dr Zay Maung Maung Aye

Research Assistant in Transport Engineering
Department of Infrastructure Engineering

8 Scholarly works
0 Projects

HIGHLIGHTS

  • 2023

    Conference Proceedings

    Evaluation of incremental deep learning approach on real-time traffic prediction
  • 2023

    Conference Proceedings

    Warm-starting the rolling horizon-based traffic volume prediction using neural networks
  • 2023

    Conference Proceedings

    Lightweight traffic anomaly detection: A case study with SCATS volume data of Melbourne
  • 2018

    Thesis / Dissertation

    Scaling learning algorithms using locality sensitive hashing
  • 2018

    Conference Proceedings

    Fast manifold landmarking using locality-sensitive hashing
    DOI: 10.1007/978-3-319-93040-4_36
  • 2016

    Conference Proceedings

    Fast trajectory clustering using Hashing methods
    DOI: 10.1109/IJCNN.2016.7727674
  • 2016

    Conference Proceedings

    Large Scale Metric Learning
    DOI: 10.1109/IJCNN.2016.7727368
Zay Maung Maung Aye

RECENT SCHOLARLY WORKS

  • 2016

    Conference Proceedings

    Efficient spatio-temporal tactile object recognition with randomized tiling convolutional networks in a hierarchical fusion strategy

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

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