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  1. An Explainable and Carbon‐Aware Stacked Ensemble Model for Phishing and Impersonation Detection in Online Social Networks

    Article • Engineering Reports, May 2026, Wiley

    Dr Sakthidasan K Sankaran, Dr. YAGYANATH RIMAL

  2. Deep Learning and Pattern Recognition for Anomaly Detection in Multimodal Medical Imaging With Sensor‐Based Data Fusion

    Article • Journal of Sensors, January 2026, Wiley

    Dr. YAGYANATH RIMAL

  3. Metaheuristic Optimization Algorithm for Vulnerability Detection in Web of Things Environment

    Article • Journal of Engineering, January 2026, Wiley

    Dr. YAGYANATH RIMAL

  4. Analyzing the Impact of Network Vulnerability Propagation Factor on Cyber Security Risk Assessment in Online Social Networks

    Article • Engineering Reports, November 2025, Wiley

    Dr. YAGYANATH RIMAL

  5. Multi-scale modeling and prediction of concrete strength using river-derived aggregates: an integrated experimental, numerical, and AI approach

    Article • Asian Journal of Civil Engineering, August 2025, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  6. Screen Time and Safety

    Article • July 2025, IGI Global

    Dr. YAGYANATH RIMAL

  7. Cyber Laws and their Role in Safeguarding Children Online

    Article • July 2025, IGI Global

    Dr. YAGYANATH RIMAL

  8. Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy

    Article • Scientific Reports, April 2025, Springer Science + Business Media

    Dr. YAGYANATH RIMAL, Prof. Madhav Prasad Koirala, PhD

  9. Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students

    Article • Frontiers in Education, April 2025, Frontiers

    Dr. YAGYANATH RIMAL

  10. A comparative analysis of ensemble autoML machine learning prediction accuracy of STEM student grade prediction: a multi-class classification prospective

    Article • Multimedia Tools and Applications, March 2025, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  11. The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms

    Article • Multimedia Tools and Applications, February 2024, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  12. Ensemble Machine Learning One-Versus-Rest Multilevel Grade Classification and Prediction

    Article • January 2024, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  13. Hyperparameter optimization: a comparative machine learning model analysis for enhanced heart disease prediction accuracy

    Article • Multimedia Tools and Applications, November 2023, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  14. Ensemble Machine Learning Model Improves Prediction Accuracy for Academic Performance: A Comparative Study of Default ML VS Boosting Algorithm

    Article • November 2023, ACM (Association for Computing Machinery)

    Dr. YAGYANATH RIMAL

  15. Machine learning model matters its accuracy: a comparative study of ensemble learning and AutoML using heart disease prediction

    Article • Multimedia Tools and Applications, September 2023, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  16. A Comparative Analysis of Student Grade Prediction and Classification Using Default, Onevsone, and H2o Automl Ensemble Analysis

    Article • January 2023, Elsevier

    Dr. YAGYANATH RIMAL

  17. Network Lifetime Enhancement by Elimination of Spatially and Temporally Correlated RFID Surveillance Data in WSNs

    Article • Wireless Communications and Mobile Computing, September 2022, Hindawi Publishing Corporation

    Dr. YAGYANATH RIMAL

  18. Malware Threat Affecting Financial Organization Analysis Using Machine Learning Approach

    Article • International Journal of Information Technology and Web Engineering, August 2022, IGI Global

    Dr. YAGYANATH RIMAL

  19. Neural Network based Student Grade Prediction Model

    Article • August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. YAGYANATH RIMAL, Marimuthu Karuppiah

  20. COVID Cases Analysis: Dynamic Animated Plots Using R Programming

    Article • February 2022, Taylor & Francis

    Dr. YAGYANATH RIMAL

  21. Animated line, bar, and bubble plots for better COVID case analysis

    Article • January 2022, Elsevier

    Dr. YAGYANATH RIMAL

  22. The Comparison of Forward and Backward Neural Network Model – A Study on the Prediction of Student Grade

    Article • WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL, July 2021, World Scientific and Engineering Academy and Society (WSEAS)

    Dr. YAGYANATH RIMAL

  23. Hyperparameter Determines the Best Learning Curve on Single, Multi-Layer and Deep Neural Network of Student Grade Prediction of Pokhara University Nepal

    Article • Journal of Physics Conference Series, February 2021, Institute of Physics Publishing

    Dr. YAGYANATH RIMAL

  24. Data interpretation and visualization of COVID-19 cases using R programming

    Article • Informatics in Medicine Unlocked, January 2021, Elsevier

    Dr. YAGYANATH RIMAL

  25. Reproducible Academic Writing and Interactive Data Visualization Using R Markdown (R Programming Flex-Dashboard: Flex_Dashboard Packages)

    Article • October 2020, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  26. Machine Learning Techniques Best for Large Data Prediction

    Article • July 2020, Wiley

    Dr. YAGYANATH RIMAL

  27. Regression Analysis of Large Research Data: Dimensional Reduction Techniques

    Article • January 2020, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  28. Machine Learning Prediction of Time Series Data (Decomposition and Forecasting Methods Using R)

    Article • January 2020, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  29. Keras: The Best Machine Learning Process for Image Recognition and Classification

    Article • January 2020, Springer Science + Business Media

    Dr. YAGYANATH RIMAL

  30. Neural Network Machine Learning Analysis for Noisy Data: R Programming

    Article • International Journal of Engineering and Advanced Technology, August 2019, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

    Blue Eyes Intelligence Engineering and Sciences Blue Eyes Intelligence Engineering and Sciences Publication, Dr. YAGYANATH RIMAL

  31. Machine Learning Prediction of Wikipedia Time Series Data using: R Programming

    Article • International Journal of Machine Learning and Networked Collaborative Engineering, July 2019, International Journal of Machine Learning and Networked Collaborative Engineering

    Dr. YAGYANATH RIMAL

  32. Deterministic Machine Learning Cluster Analysis of Research Data: using R Programming

    Article • International Journal of Machine Learning and Networked Collaborative Engineering, March 2019, International Journal of Machine Learning and Networked Collaborative Engineering

    Dr. YAGYANATH RIMAL

  33. Learning Random Forest from Histogram Data Using Split Specific Axis Rotation

    Article • International Journal of Machine Learning and Computing, February 2018, EJournal Publishing

    Dr. YAGYANATH RIMAL