Performance Comparison of Imputation Methods in Building Energy Data Sets. - Hariom Dhungana; Francesco Bellotti; Riccardo Berta; Alessandro De Gloria (ApplePies, 2020)

Machine Learning Model for Fault Detection in Safety Critical System. - Pragya Dhungana; Rupesh Kumar Singh; Hariom Dhungana (ApplePies, 2023)

Data Imputation in IoT Measurements: Challenges and Guidelines. - Pragya Dhungana; Hariom Dhungana; Shyam Krishna Khadka; Swechhya Baskota (ApplePies, 2024)

Deep Learning-Based Fault Identification in Condition Monitoring. - Hariom Dhungana; Suresh Kumar Mukhiya; Pragya Dhungana; Benjamin Karic (ApplePies, 2024)

Rule-Based Decision Making in Biologically Inspired Condition Management System. - Hariom Dhungana (ICAART (3), 2024)

Bearing Prognostics Using the PRONOSTIA Data: A Comparative Study. - Hariom Dhungana; Thorstein Rykkje; Alexander Selvikvåg Lundervold (IEEE Access, 2025)

Biomimicry as a decision-making methodology in condition monitoring. - Hariom Dhungana (Frontiers Artif. Intell., 2025)

YOLO-Based Pipeline Monitoring in Challenging Visual Environments. - Pragya Dhungana; Matteo Fresta; Niraj Tamrakar; Hariom Dhungana (CoRR, 2025)

A machine learning approach for wind turbine power forecasting for maintenance planning. - Hariom Dhungana (Energy Inform., 2025)