Chiranjibi Sitaula

According to our database, Chiranjibi Sitaula authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhanced multi-level features for very high resolution remote sensing scene classification.

Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal

Neural Comput. Appl., May, 2024

Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features.

Chiranjibi Sitaula, Tej Bahadur Shahi

J. Ambient Intell. Humaniz. Comput., March, 2024

Recent advances in scene image representation and classification.

Chiranjibi Sitaula, Tej Bahadur Shahi, Faezeh Marzbanrad, Jagannath Aryal

Multim. Tools Appl., January, 2024

2023

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

Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad

IEEE J. Biomed. Health Informatics, June, 2023

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

Lachlan Burne, Chiranjibi Sitaula, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad

IEEE J. Biomed. Health Informatics, June, 2023

Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation.

Emma Perkins, Chiranjibi Sitaula, Michael Burke, Faezeh Marzbanrad

IEEE Trans. Intell. Veh., February, 2023

A Novel Multiscale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification.

Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya

IEEE Geosci. Remote. Sens. Lett., 2023

A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification.

Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya

CoRR, 2023

Neonatal Face and Facial Landmark Detection from Video Recordings.

Ethan Grooby, Chiranjibi Sitaula, Soodeh Ahani, Liisa Holsti, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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

Chiranjibi Sitaula, Jinyuan He, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Monkeypox Virus Detection Using Pre-trained Deep Learning-based Approaches.

Chiranjibi Sitaula, Tej Bahadur Shahi

J. Medical Syst., 2022

Recent Advances in Scene Image Representation and Classification.

Chiranjibi Sitaula, Tej Bahadur Shahi, Faezeh Marzbanrad

CoRR, 2022

Natural language processing for Nepali text: a review.

Tej Bahadur Shahi, Chiranjibi Sitaula

Artif. Intell. Rev., 2022

Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning.

Alireza Rafiei, Rasoul Zahedifar, Chiranjibi Sitaula, Faezeh Marzbanrad

IEEE Access, 2022

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

Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad

IEEE Access, 2022

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

Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection.

Zaria Imran, Ethan Grooby, Vinayaka Vivekananda Malgi, Chiranjibi Sitaula, Sunil Aryal, Faezeh Marzbanrad

Proceedings of the Computing in Cardiology, 2022

2021

Nepaliliinguistic.

Anish Basnet, Chiranjibi Sitaula, Sunil Aryal

Dataset, March, 2021

Vector representation based on a supervised codebook for Nepali documents classification.

Chiranjibi Sitaula, Anish Basnet, Sunil Aryal

PeerJ Comput. Sci., 2021

Content and context features for scene image representation.

Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu

Knowl. Based Syst., 2021

New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis.

Chiranjibi Sitaula, Sunil Aryal

Health Inf. Sci. Syst., 2021

Scene image representation by foreground, background and hybrid features.

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

Expert Syst. Appl., 2021

Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets.

Chiranjibi Sitaula, Anish Basnet, A. Mainali, Tej Bahadur Shahi

Comput. Intell. Neurosci., 2021

Attention-based VGG-16 model for COVID-19 chest X-ray image classification.

Chiranjibi Sitaula, Mohammad Belayet Hossain

Appl. Intell., 2021

2020

Fusion of whole and part features for the classification of histopathological image of breast tissue.

Chiranjibi Sitaula, Sunil Aryal

Health Inf. Sci. Syst., 2020

HDF: Hybrid Deep Features for Scene Image Representation.

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Indoor Image Representation by High-Level Semantic Features.

Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal

IEEE Access, 2019

Unsupervised Deep Features for Privacy Image Classification.

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

Proceedings of the Image and Video Technology - 9th Pacific-Rim Symposium, 2019

Tag-Based Semantic Features for Scene Image Classification.

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

Proceedings of the Neural Information Processing - 26th International Conference, 2019