| 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 | 131 | 2022 |
| Predictive model for overall network security risk NR Pokhrel, CP Tsokos US Patent 10,848,515, 2020 | 31 | 2020 |
| Cybersecurity: a stochastic predictive model to determine overall network security risk using Markovian process NR Pokhrel, CP Tsokos Journal of Information Security 8 (2), 91-105, 2017 | 28 | 2017 |
| Cybersecurity: Time series predictive modeling of vulnerabilities of desktop operating system using linear and non-linear approach NR Pokhrel, H Rodrigo, CP Tsokos Journal of Information Security, 2017 | 26 | 2017 |
| 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 | 20 | 2022 |
| 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 | 9 | 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 | 7 | 2022 |
| Cybersecurity: a predictive analytical model for software vulnerability discovery process NR Pokhrel, N Khanal, CP Tsokos, K Pokhrel Journal of Cyber Security Technology 5 (1), 41-69, 2021 | 3 | 2021 |
| Prediction of software vulnerabilities CP Tsokos, NR Pokhrel US Patent 11,017,096, 2021 | 1 | 2021 |
| Statistical Analysis and Modeling of Cyber Security and Health Sciences NR Pokhrel University of South Florida, 2018 | 1 | 2018 |
| 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 | | 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 |
| UTILIZATION OF MATERNAL HEALTH SERVICES AND APPROPRIATE FEEDING PRACTICES TO IMPROVE NUTRITIOANAL STATUS OF INFANTS AND YOUNG CHILDREN IN NEPAL KN Pokhrel, M Jimba, J Yasuoka, K Otsuka, N Pokhrel ANNALS OF NUTRITION AND METABOLISM 63, 374-374, 2013 | | 2013 |
| Machine Learning with Applications NR Pokhrel, KR Dahal, R Rimal, HN Bhandari, RKC Khatri, B Rimal, ... | | |
| DOCS@ RWU HN Bhandari, B Rimal, NR Pokhrel, R Rimal, KR Dahal | | |
| 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 | | |
| Machine Learning with Applications HN Bhandari, B Rimal, NR Pokhrel, R Rimal, KR Dahal, RKC Khatri | | |
| Application of Deep Learning Models in Stock Market Index Prediction B Rimal, NR Pokhrel, R Rimal, KR Dahal, RKC Khatri 2022 Virtual Joint Mathematics Meetings (JMM 2022), 0 | | |
| Predicting Nepse Index Price Using Deep Learning Models K Dahal, NR Pokhrel, R Rimal, HN Bhandari, RKC Khatri, B Rimal MLWA-D-22-00235, 0 | | |
