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Tej Bahadur Shahi
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2020 – today
- 2024
- [j10]Chiranjibi Sitaula
, Tej Bahadur Shahi
Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features. J. Ambient Intell. Humaniz. Comput. 15(3): 2047-2056 (2024) - [j9]Chiranjibi Sitaula
Recent advances in scene image representation and classification. Multim. Tools Appl. 83(3): 9251-9278 (2024) - 2023
- [j8]Mohan Bhandari
BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model. J. Imaging 9(2): 53 (2023) - [j7]Mohan Bhandari
Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks. J. Imaging 9(10): 219 (2023) - [j6]Tej Bahadur Shahi
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques. Remote. Sens. 15(9): 2450 (2023) - 2022
- [j5]Tej Bahadur Shahi
Natural language processing for Nepali text: a review. Artif. Intell. Rev. 55(4): 3401-3429 (2022) - [j4]Mohan Bhandari
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI. Comput. Biol. Medicine 150: 106156 (2022) - [j3]Nirmal Chaudhary, Tej Bahadur Shahi
Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach. J. Imaging 8(6): 167 (2022) - [j2]Chiranjibi Sitaula
Monkeypox Virus Detection Using Pre-trained Deep Learning-based Approaches. J. Medical Syst. 46(11): 78 (2022) - [i3]Chiranjibi Sitaula, Tej Bahadur Shahi:
Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features. CoRR abs/2203.10286 (2022) - [i2]Chiranjibi Sitaula
Recent Advances in Scene Image Representation and Classification. CoRR abs/2206.07326 (2022) - [i1]Chiranjibi Sitaula, Tej Bahadur Shahi:
Monkeypox virus detection using pre-trained deep learning-based approaches. CoRR abs/2209.04444 (2022) - 2021
- [j1]Chiranjibi Sitaula
Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets. Comput. Intell. Neurosci. 2021: 2158184:1-2158184:11 (2021)
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