フォロー
Chiranjibi Sitaula, PhD
Chiranjibi Sitaula, PhD
確認したメール アドレス: unimelb.edu.au - ホームページ
タイトル
引用先
引用先
Attention-based VGG-16 model for COVID-19 chest X-ray image classification
C Sitaula, MB Hossain
Applied Intelligence 51 (5), 2850-2863, 2021
3282021
Monkeypox virus detection using pre-trained deep learning-based approaches
C Sitaula, TB Shahi
Journal of Medical Systems 46 (11), 78, 2022
1952022
Fruit classification using attention-based MobileNetV2 for industrial applications
TB Shahi, C Sitaula, A Neupane, W Guo
Plos one 17 (2), e0264586, 2022
1132022
Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets
C Sitaula, A Basnet, A Mainali, TB Shahi
Computational Intelligence and Neuroscience 2021 (1), 2158184, 2021
1122021
NDVI threshold-based urban green space mapping from sentinel-2A at the Local Governmental Area (LGA) level of victoria, Australia
J Aryal, C Sitaula, S Aryal
Land 11 (3), 351, 2022
672022
A hybrid feature extraction method for Nepali COVID‐19‐related tweets classification
TB Shahi, C Sitaula, N Paudel
Computational Intelligence and Neuroscience 2022 (1), 5681574, 2022
652022
Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia
J Aryal, C Sitaula, AC Frery
Scientific Reports 13 (1), 13510, 2023
442023
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
C Sitaula, TB Shahi, S Aryal, F Marzbanrad
Scientific reports 11 (1), 23914, 2021
432021
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis
C Sitaula, S Aryal
Health information science and systems 9 (1), 24, 2021
382021
Natural language processing for Nepali text: a review
TB Shahi, C Sitaula
Artificial Intelligence Review 55 (4), 3401-3429, 2022
372022
Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning
FM A Rafiei, R Zahedifar, C Sitaula
IEEE Access, 2022
362022
Challenges of driver drowsiness prediction: The remaining steps to implementation
E Perkins, C Sitaula, M Burke, F Marzbanrad
IEEE Transactions on Intelligent Vehicles 8 (2), 1319-1338, 2022
312022
Neonatal bowel sound detection using convolutional neural network and Laplace hidden semi-Markov model
C Sitaula, J He, A Priyadarshi, M Tracy, O Kavehei, M Hinder, A Withana, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1853-1864, 2022
312022
Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features
C Sitaula, TB Shahi
Journal of Ambient Intelligence and Humanized Computing 15 (3), 2047-2056, 2024
282024
Scene image representation by foreground, background and hybrid features
C Sitaula, Y Xiang, S Aryal, X Lu
Expert Systems with Applications 182, 115285, 2021
262021
Content and context features for scene image representation
C Sitaula, S Aryal, Y Xiang, A Basnet, X Lu
Knowledge-Based Systems 232, 107470, 2021
252021
Noisy neonatal chest sound separation for high-quality heart and lung sounds
E Grooby, C Sitaula, D Fattahi, R Sameni, K Tan, L Zhou, A King, ...
IEEE journal of biomedical and health informatics 27 (6), 2635-2646, 2022
242022
Fusion of whole and part features for the classification of histopathological image of breast tissue
C Sitaula, S Aryal
Health Information Science and Systems 8, 1-12, 2020
242020
Enhanced multi-level features for very high resolution remote sensing scene classification
C Sitaula, S KC, J Aryal
Neural Computing and Applications 36 (13), 7071-7083, 2024
202024
Real-time multi-level neonatal heart and lung sound quality assessment for telehealth applications
E Grooby, C Sitaula, D Fattahi, R Sameni, K Tan, L Zhou, A King, ...
IEEE Access 10, 10934-10948, 2022
202022
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