IEEE

Leveraging Tree-Based Machine Learning and Explainable AI for UAV GPS Spoofing Detection

Abstract: The increasing reliance on GPS systems in Unmanned Aerial Vehicles (UAVs) has made the need for an efficient and robust system to detect, mitigate, and prevent potential disruption during ...
Duke Pratt School of Engineering

Mapping Behavior with Machine Learning

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
IEEE

Cyclone Path Prediction and Impact Assessment on Coconut Tree Population using Machine Learning Algorithm

Abstract: Cyclones are devastating natural disasters that significantly affect coastal agricultural systems, particularly coconut plantations. This paper presents a comprehensive, AI-driven framework ...
GitHub

A Python-based Decision-Focused Learning Toolbox

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...
AHA/ASA Journals

Coronary Atherosclerosis in Patients With Cancer and Survivors: A Scientific Statement From the American Heart Association

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...