#machine learning
88 papers · 1 filter
Identifying backsplash galaxies using machine learning
Roan Haggar, Elizaveta Sazonova, Cameron R. Morgan +5
The paper presents a machine‑learning model trained on The Three Hundred cluster simulations that can identify backsplash galaxies in observations, achieving about 70% purity/compl…
A Low-Cost Human-in-the-Loop Investigation of Toxicity on GitHub at Scale
Rahat Rizvi Rahman, Mia Mohammad Imran, Kostadin Damevski
The paper introduces a human-in-the-loop workflow that combines a small local LLM with a lightweight Random Forest validator to efficiently label toxicity in over 124,000 GitHub is…
Physics-Guided Interpretable Machine Learning Framework for Anomalous Transport in Crowded Media with Tunable Flexibility
Zakiya Shireen, Sujin B. Babu
The paper introduces a physics‑guided interpretable machine‑learning framework that combines Brownian Cluster Dynamics simulations with surrogate models and SHAP analysis to quanti…
Multi-Dimensional Entropy for Vibration Measurement Data Quality Assessment and Erroneous Signal Identification in Wind Turbines
Xiao-Ming Yuan, Zishun Wang, Donghui Zhao +2
The paper introduces a Multi-Dimensional Entropy (MDE) metric that evaluates the quality of vibration measurements in wind turbines by analyzing time‑domain, spectral, and frequenc…
A systematic evaluation of machine learning classifiers for event-by-event background rejection in LAFOV PET scanners
Konrad Klimaszewski, MichaÅ Obara, Mateusz Bala +5
The paper evaluates machine‑learning classifiers (XGBoost, AdaBoost, neural networks) for classifying individual PET coincidence events to reduce background in large‑field‑of‑view…
A Density-Matrix Framework for Electronic-Structure Analysis of Functional-Group and Salt Effects in Lithium-Metal Electrolytes
Mingkang Liu, Huize Yu, Yanbin Gao +3
The paper introduces EMolStudio, an AI-driven density‑matrix framework that predicts electronic‑structure properties of lithium‑metal electrolyte molecules and their explicit Li⁺ s…