Publications

Journal publications:

• 1. C Sitaula, S KC, and J Aryal, "Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification ", Neural Computing and Applications, 2024 [arXiv ]

  2. P Singh, .... C Sitaula, ..."GeoCovaxTweets: A Global Analysis of COVID-19 Vaccines and Vaccination Discourse on Social Media ", Journal of Intelligent and Fuzzy Systems, 2024

  3. E Perkins, C Sitaula, ......."Investigating Physiological and Behavioural Sensing Modalities Towards Drowsiness Detection ", IEEE Sensors Journal, Accepted, 2023

  4. TB Shahi, S Dhakal, C Sitaula, A Neupane, W Guo, "Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study", Drones, 2023

  5. A Priyadarshi, .... C Sitaula....., "Comparison of simultaneous auscultation and ultrasound for the clinical assessment of bowel peristalsis in neonates", Front. Pediatr. - Neonatology, 2023

  6. C Sitaula, J Aryal and A Bhattacharya, "A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification ", IEEE Geoscience And Remote Sensing Letters, 2023 [arXiv] 

  7. C Sitaula, TB Shahi, "Multi-channel CNN to classify Nepali covid-19 related tweets using hybrid features ", Journal of Ambient Intelligence and Humanized Computing, Accepted, 2023 [arXiv] 

  8. J Aryal*, C Sitaula*, A C. Frery, "Land Use and Land Cover (LULC) Performance Modeling Using Machine Learning Algorithms: A Case Study of City of Melbourne, Australia", Scientific Reports, 2023, *Equal contribution [Read] 

  9. C Sitaula, TB Shahi, F Marzbanrad, J Aryal, "Recent Advances in Scene Image Representation and Classification", Multimedia Tools and Applications, 2023 [arXiv ]

  10. E Grooby*, C Sitaula*, TC Kwok, D Sharkey, F Marzbanrad, A Malhotra, "Artificial Intelligence-Driven Wearable Technologies for Neonatal Cardiorespiratory Monitoring: Part 1 - Wearable Technology ", Pediatric Research (Nature), 2022 [Link] [Read ] *Equal contribution

  11. C Sitaula, E Grooby, TC Kwok, D Sharkey, F Marzbanrad, A Malhotra, "Artificial Intelligence-Driven Wearable Technologies for Neonatal Cardiorespiratory Monitoring: Part 2 Artificial Intelligence", Pediatric Research (Nature), 2022 [Link] [Read ] 

  12. E Perkins, C Sitaula, M Burke, F Marzbanrad, "Challenges of Driver Drowsiness Prediction:  The Remaining Steps to Implementation", IEEE Transactions on Intelligent Vehicles, 2022 [arXiv] 

  13. L Burne, C Sitaula*, ..., F Marzbanrad. "Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection ", IEEE Journal of Biomedical and Health Informatics, 2022  [Read] *Corresponding author

  14. E Grooby, C. Sitaula, D. Fattahi, R. Sameni, K. Tan, L. Zhou, A. King, A. Ramanathan, A. Malhotra, G.A. Dumont, and F. Marzbanrad "Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds", IEEE Journal of Biomedical and Health Informatics, 2022 [arXiv] 

  15. C Sitaula,  TB Shahi,  "Monkeypox virus detection using pre-trained deep learning-based approaches", Journal of Medical Systems, 2022 [Read]  [arXiv] 

  16. R Alireza, Z Rasoul, C Sitaula, F Marzbanrad, "Automatic Detection of Major Depressive Disorder with EEG Signals: A Time Series Classification Using Deep Learning", IEEE Access, 2022 [Read] 

  17. C Sitaula, J He, A Priyadarshi, M Tracy, O Kavehei, M Hinder, A Withana, A McEwan, F Marzbanrad, "Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model", IEEE/ACM Transactions on Audio Speech and Language Processing, 2022 [arXiv] 

  18. J Aryal, C Sitaula, S Aryal, "NDVI Threshold-based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia", Land, 2022 [Read] 

  19. TB Shahi, C Sitaula, A Neupane, W Guo "Fruit Classification using Lightweight Attention-based MobileNetV2 for Industrial Applications", PLOS One, 2022 [Read] 

  20. TB Shahi, C. Sitaula, N Paudel, "A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification", Computational Intelligence and Neuroscience,  2022 [Read] 

  21. E Grooby, C. Sitaula, D Fattahi, R Sameni, K Tan, L Zhou, A. King, A Ramanathan, A Malhotra, GA Dumont, and F Marzbanrad, "Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications", IEEE Access, accepted, 2022 [arXiv]

  22. C. Sitaula, TB Shahi, S Aryal, F Marzbanrad, "Fusion of multi-scale Bag of Deep Visual Words features of Chest X-Ray Images to detect COVID-19 Infection", Nature Scientific Reports, 2021 [Read]

  23. C Sitaula, A Basnet, TB Shahi, A Mainali, "Deep Learning-based Methods for Sentiment Analysis on Nepali COVID-19-related Tweets", Computational Intelligence and Neuroscience, 2021 [Read]

  24. TB  Shahi, C. Sitaula, "Natural Language Processing for Nepali Text: A Review", Artificial Intelligence Review, 2021 [Read] 

  25. C Sitaula, S Aryal, Y Xiang, A Basnet, X Lu, "Content and Context Features for Scene Image Representation", Knowledge-Based Systems, 2021 [arXiv]

  26. C Sitaula, Y Xiang, S Aryal, X Lu, "Scene Image Representation by Foreground, Background, and Hybrid Features", Expert Systems with Applications, 2021 [arXiv]

  27. C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal, "Indoor image representation by high-level semantic features", IEEE Access, 2019 [arXiv]

  28.  C Sitaula, MB Hossain, "Attention-based VGG-16 Model for COVID-19 Chest X-ray Image Classification", Applied Intelligence, 2020 [Read]

  29. C Sitaula, A Basnet, S Aryal, "Vector representation based on a supervised codebook for Nepali documents classification", PeerJ Computer Science, 2021 [Read]

  30. C Sitaula, S Aryal, "New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis", Health Information Science and Systems (HISC), 2021 [arXiv] [Read]

  31.  C Sitaula, S Aryal, "Fusion of whole and part features for the classification of histopathological image of breast tissue", Health Information Science and Systems, 2020 [Read]

Conference & poster publications:

1. E Grooby, ....C Sitaula..., "Video-Based Face and Facial Landmark Tracking for Neonatal Vital Sign Monitoring", in Proc. CMBES, 2023 [Read]

2. E Grooby, ... C Sitaula..., "Neonatal Face and Facial Landmark Detection from Video Recordings ", in Proc. IEEE EMBC, accepted, 2023 [arXiv ]

3. Z Imran, ... C Sitaula..., "A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection ", in Proc. CINC, accepted, 2022 (3rd Place in Clinical Outcome Identification for the PhysioNet Challenge) [Pre-print] 

4. E Grooby, ...C Sitaula..., "Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds ", in Proc. EMBC, accepted, 2022 [arXiv] 

5. E Grooby, ...C Sitaula..., " Effect of Surfactant Therapy on Digitally Recorded Chest Sounds in Premature Infants ", in Proc. PSANZ, accepted, 2022

6. C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu, "HDF: Hybrid deep features for scene image representation", in Proc. IJCNN, 2020 [arXiv]

7. C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu, "Tag-based semantic features for scene image classification", in Proc. ICONIP, 2019 [arXiv]

8. C Sitaula, Y Xiang, S Aryal, X Lu, "Unsupervised deep features for privacy image classification", in Proc. PSIVT, 2019 [arXiv] 

Under review & working papers:

1. TB Shahi , C Sitaula,.....  "Residual Deep Learning Model for Irrigation Detection in Tomato",IEEE Transaction on Artificial Intelligence, revision, 2023

Theses:

1. C Sitaula, 2020, "Developing New Image Features for Scene Image Classification", PhD thesis, Deakin University, Australia

2. C Sitaula, 2012, "Semantic text clustering using enhanced vector space model using Nepali language", Master's thesis, Tribhuvan University, Nepal

See my google scholar [here]

See my DBLP page [here]