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Found 6 papers, 1 papers with code
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
Traditional ML methods used for fire modeling offer computational speedup but struggle with physically inconsistent predictions, biased predictions due to class imbalance, biased estimates for fire spread metrics (e. g., burned area, rate of spread), and generalizability in out-of-distribution wind conditions.
Multimodal Wildland Fire Smoke Detection
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States.
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Early detection of fire ignitions from initial smoke can assist the response to such fires before they become difficult to manage.
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning
The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation.
Ten Simple Rules for Reproducible Research in Jupyter Notebooks
For example, what are the technical and non-technical barriers to reproducible computational studies?
Other Computer Science Computers and Society
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning
An end-to-end analytics pipeline with multiple stages is provided for automated LV segmentation and volume estimation.
