Malware threat affecting financial organization analysis using machine learning approach R Rawat, SK Sarangi, YN Rimal, P William, S Dahima, S Gupta, ... International Journal of Information Technology and Web Engineering (IJITWE …, 2022 | 111 | 2022 |
Hyperparameter determines the best learning curve on single, multi-layer and deep neural network of student grade prediction of Pokhara university Nepal Y Rimal, P Pandit, S Gocchait, SA Butt, AJ Obaid Journal of Physics: Conference Series 1804 (1), 012054, 2021 | 15 | 2021 |
Data interpretation and visualization of COVID-19 cases using R programming Y Rimal, S Gochhait, A Bisht Informatics in Medicine Unlocked 26, 100705, 2021 | 14 | 2021 |
The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic … Y Rimal, N Sharma, A Alsadoon Multimedia Tools and Applications, 1-16, 2024 | 8 | 2024 |
The comparison of forward and backward neural network model–A study on the prediction of student grade S Gochhait, Y Rimal, S Pageni WSEAS Transactions on Systems and Control 16, 422-429, 2021 | 7 | 2021 |
Hyperparameter optimization: a comparative machine learning model analysis for enhanced heart disease prediction accuracy Y Rimal, N Sharma Multimedia Tools and Applications 83 (18), 55091-55107, 2024 | 4 | 2024 |
Machine Learning Random Forest Cluster Analysis for Large Overfitting Data: using R Programming Y Rimal 2017 4th International Conference on “Computing for Sustainable Global …, 2018 | 4 | 2018 |
Machine learning model matters its accuracy: a comparative study of ensemble learning and automl using heart disease prediction Y Rimal, S Paudel, N Sharma, A Alsadoon Multimedia Tools and Applications 83 (12), 35025-35042, 2024 | 3 | 2024 |
Network Lifetime Enhancement by Elimination of Spatially and Temporally Correlated RFID Surveillance Data in WSNs L Dash, BK Pattanayak, D Singh, D Samanta, Y Rimal Wireless Communications and Mobile Computing 2022 (1), 2437578, 2022 | 3 | 2022 |
Cross-validation method for overfitting research data using r programming Y Rimal Central Asian Journal of Mathematical Theory and Computer Sciences 1 (11), 27-34, 2020 | 3 | 2020 |
Role of physical instructional materials in early childhood learning centres S Pageni, Y Rimal Pragyamancha, Barsha 30 (15), 1-10, 2017 | 3 | 2017 |
Neural Network based Student Grade Prediction Model Y Rimal, VS Rathore, S Pageni, D Samanta, M Karuppiah, D Singh 2022 International Conference on Machine Learning, Computer Systems and …, 2022 | 2 | 2022 |
Reproducible Academic Writing and Interactive Data Visualization Using R Markdown (R Programming Flex-Dashboard: Flex_Dashboard Packages) Y Rimal Rising Threats in Expert Applications and Solutions: Proceedings of FICR …, 2021 | 2 | 2021 |
BORUTA ALGORITHM IS SIGNIFICANT FOR LARGE FEATURE SELECTION OF STUDENT MARKS DATA OF POKHARA UNIVERSITY NEPAL Y Rimal vol, 2020 | 2 | 2020 |
Naïve Bayes Machine Learning Classification with R Programming: a Case Study of Binary Data Sets Y Rimal International Journal on Orange Technologies 1 (2), 27-34, 2019 | 2 | 2019 |
Machine Learning Techniques Best for Large Data Prediction: A Case Study of Breast Cancer Categorical Data: k‐Nearest Neighbors Y Rimal Ontology‐Based Information Retrieval for Healthcare Systems, 245-256, 2020 | 1 | 2020 |
Correlation coefficient analysis of data using R programming: Does it effectives Y Rimal Journal of Emerging Technologies and Innovative Research (JETIR) 6 (5), 103-109, 2020 | 1 | 2020 |
Multivariate imputation for missing data handling a case study on small and large data sets Y Rimal International Journal of Human Computing Studies 2 (1), 5-11, 2020 | 1 | 2020 |
Deterministic Machine Learning Cluster Analysis of Research Data: using R Programming Y Rimal International Journal of Machine Learning and Networked Collaborative …, 2019 | 1 | 2019 |
Neural Network Machine Learning Techniques for Large Noisy Data Prediction using R Programming Y Rimal Květen, 2019 | 1 | 2019 |