3 papers
cs.LG2026
Predicting Anemia Among Under-Five Children in Nepal Using Machine Learning and Deep Learning
Deepak Bastola, Pitambar Acharya, Dipak Dulal +2
Childhood anemia remains a major public health challenge in Nepal and is associated with impaired growth, cognition, and increased morbidity. Using World Health Organization hemogl…
cs.LG2025
Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques
Dipak Dulal, Joseph J. Charney, Michael Gallagher +2
This research project investigated the correlation between a 10 Hz time series of thermocouple temperatures and turbulent kinetic energy (TKE) computed from wind speeds collected f…
cs.LG2025
Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Fire
Dipak Dulal, Joseph J. Charney, Michael R. Gallagher +3
This study explores the potential for predicting turbulent kinetic energy (TKE) from more readily acquired temperature data using temperature profiles and turbulence data collected…