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Email

chiranjibi.sitaula@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Department of Infrastructure Engineering
ORCID

0000-0002-4564-2985

Dr Chiranjibi Sitaula

Honorary (Fellow)
Department of Infrastructure Engineering

42 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Deep Learning-Based Method for Irrigation Status Detection in Tomato Using Plant Leaves
    DOI: 10.1109/TAI.2025.3528926
  • 2024

    Journal article

    Enhanced multi-level features for very high resolution remote sensing scene classification
    DOI: 10.1007/s00521-024-09446-y
  • 2024

    Journal article

    GeoCovaxTweets: A global analysis of COVID-19 vaccines and vaccination discourse on social media
    DOI: 10.3233/jifs-219418
  • 2024

    Journal article

    A rotation-invariant horizontal vertical pooled module for remote sensing image representation
    DOI: 10.1007/s00521-024-10180-8
  • 2023

    Journal article

    Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia.
    DOI: 10.1038/s41598-023-40564-0
  • 2023

    Journal article

    A Novel Multiscale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
    DOI: 10.1109/LGRS.2023.3312643
  • 2022

    Journal article

    NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia
    DOI: 10.3390/land11030351
Chiranjibi Sitaula

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features
    DOI: 10.1007/s12652-023-04692-9
  • 2024

    Journal article

    Recent advances in scene image representation and classification
    DOI: 10.1007/s11042-023-15005-9
  • 2023

    Journal article

    Investigating Physiological and Behavioral Sensing Modalities Toward Drowsiness Detection
    DOI: 10.1109/JSEN.2023.3326434
  • 2023

    Journal article

    Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
    DOI: 10.3390/drones7100624
  • 2023

    Journal article

    Comparison of simultaneous auscultation and ultrasound for clinical assessment of bowel peristalsis in neonates
    DOI: 10.3389/fped.2023.1173332

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