TS
Publications
- Nepali news classification using Naïve Bayes, Support Vector Machines and Neural Networks
- Nepal Stock Exchange Prediction Using Support Vector Regression and Neural Networks
- Nepali SMS filtering Using Decision Trees, Neural Network and Support Vector Machine
- Stock Price Forecasting with Deep Learning: A Comparative Study
- Mobile SMS Spam Filtering for Nepali Text Using Naïve Bayesian and Support Vector Machine
- Deep learning-based framework for spatiotemporal data fusion: an instance of Landsat 8 and Sentinel 2 NDVI
- Natural language processing for Nepali text: a review
- Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets
- Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
- Publisher Correction: Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
- Methods in the spatial deep learning: current status and future direction
- Fruit classification using attention-based MobileNetV2 for industrial applications
- A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification
- Mobile SMS Spam Filtering for Nepali Text Using Naïve Bayesian and Support Vector Machine
- Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach
- Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
- BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model
- A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images
- Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach
- Machine learning methods for precision agriculture with UAV imagery: a review
- Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
- Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
- Applicability of UAV in Crop Health Monitoring Using Machine Learning Techniques
- Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features
- Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets
- Pasture monitoring using remote sensing and machine learning: A review of methods and applications
Usage metrics
Co-workers & collaborators
- AN
Arjun Neupane
- WG
Wanwu Guo
- CX
Chengyuan Xu
- MB
Mohan Bhandari
- CS
C Sitaula
- AS
Ashish Shrestha