Tej Shahi

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