| Predicting stock market index using LSTM HN Bhandari, B Rimal, NR Pokhrel, R Rimal, KR Dahal, RKC Khatri Machine Learning with Applications 9, 100320, 2022 | 258 | 2022 |
| Prediction of wine quality using machine learning algorithms KR Dahal, JN Dahal, H Banjade, S Gaire Open Journal of Statistics 11 (2), 278-289, 2021 | 69 | 2021 |
| Predicting nepse index price using deep learning models NR Pokhrel, KR Dahal, R Rimal, HN Bhandari, RKC Khatri, B Rimal, ... Machine Learning with Applications 9, 100385, 2022 | 34 | 2022 |
| Argumentative comparative analysis of machine learning on coronary artery disease KR Dahal, Y Gautam Open Journal of Statistics 10 (4), 694-705, 2020 | 26 | 2020 |
| A comparative study on effect of news sentiment on stock price prediction with deep learning architecture KR Dahal, NR Pokhrel, S Gaire, S Mahatara, RP Joshi, A Gupta, ... Plos one 18 (4), e0284695, 2023 | 23 | 2023 |
| LSTM-SDM: An integrated framework of LSTM implementation for sequential data modeling HN Bhandari, B Rimal, NR Pokhrel, R Rimal, KR Dahal Software Impacts 14, 100396, 2022 | 12 | 2022 |
| Analysis of the resolution of crime using predictive modeling KR Dahal, JN Dahal, KR Goward, O Abayami Open Journal of Statistics 10 (03), 600, 2020 | 6 | 2020 |
| Deep-sdm: A unified computational framework for sequential data modeling using deep learning models NR Pokhrel, KR Dahal, R Rimal, HN Bhandari, B Rimal Software 3 (1), 47-61, 2024 | 4 | 2024 |
| Exact distribution of difference of two sample proportions and its inferences KR Dahal, M Amezziane Open Journal of Statistics 10 (03), 363, 2020 | 4 | 2020 |
| Artifact removal for physiological signals via wavelets EB Lin, O Abayomi, K Dahal, P Davis, NC Mdziniso Eighth International Conference on Digital Image Processing (ICDIP 2016 …, 2016 | 4 | 2016 |
| Implementation of deep learning models in predicting ESG index volatility HN Bhandari, NR Pokhrel, R Rimal, KR Dahal, B Rimal Financial Innovation 10 (1), 75, 2024 | 2 | 2024 |
| Real Estate Market Prediction Using Deep Learning Models R Rimal, B Rimal, HN Bhandari, NR Pokhrel, KR Dahal Annals of Data Science, 1-44, 2024 | 1 | 2024 |
| Improving the Bickel–Rosenblatt global measure of deviation and goodness-of-fit test SE Ahmed, M Amezziane, K Dahal Statistics & Probability Letters 218, 110310, 2025 | | 2025 |
| Predicting the Direction of NEPSE Index Movement with News Headlines Using Machine Learning KR Dahal, A Gupta, NR Pokhrel Econometrics 12 (2), 16, 2024 | | 2024 |
| Predicting Coronary Artery Disease Using Machine Learning KR Dahal, NR Pokhrel, P Subedi, S Gaire, R Bhandari, M Dahal, M Giwa International Journal of Statistics and Probability 13 (2), 2024 | | 2024 |
| Creatine Supplements: What the Research Says about How It Can Help Healthy Athletes M Dahal, KR Dahal, NR Pokhrel, D Kutal Global Journal of Health Science 16 (2), 2024 | | 2024 |
| Ranking Multivariate Data and Related Inference KR Dahal Central Michigan University, 2019 | | 2019 |
| Machine Learning with Applications NR Pokhrel, KR Dahal, R Rimal, HN Bhandari, RKC Khatri, B Rimal, ... | | |
| Predicting ESG Index Volatility with Deep Learning Models B Rimal, HN Bhandari, NR Pokhrel, R Rimal, KR Dahal 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
| Comparative study of machine learning models on predicting real estate market indices R Rimal, B Rimal, HN Bhandari, NR Pokhrel, KR Dahal 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
Nawa Raj PokhrelXavier University of LouisianaDirección de correo verificada de xula.edu
