Chiranjibi Sitaula

According to our database1, Chiranjibi Sitaula authored at least 17 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features.
CoRR, 2022

Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds.
CoRR, 2022

Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds.
CoRR, 2022

Natural language processing for Nepali text: a review.
Artif. Intell. Rev., 2022

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications.
IEEE Access, 2022

Vector representation based on a supervised codebook for Nepali documents classification.
PeerJ Comput. Sci., 2021

Content and context features for scene image representation.
Knowl. Based Syst., 2021

New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis.
Health Inf. Sci. Syst., 2021

Scene image representation by foreground, background and hybrid features.
Expert Syst. Appl., 2021

Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model.
CoRR, 2021

Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets.
Comput. Intell. Neurosci., 2021

Attention-based VGG-16 model for COVID-19 chest X-ray image classification.
Appl. Intell., 2021

Fusion of whole and part features for the classification of histopathological image of breast tissue.
Health Inf. Sci. Syst., 2020

HDF: Hybrid Deep Features for Scene Image Representation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Indoor Image Representation by High-Level Semantic Features.
IEEE Access, 2019

Unsupervised Deep Features for Privacy Image Classification.
Proceedings of the Image and Video Technology - 9th Pacific-Rim Symposium, 2019

Tag-Based Semantic Features for Scene Image Classification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019