IEEE

Classification of Power Transformer Faults Using ANN

Abstract: This paper presents the use of artificial neural network (ANN) for classifying the faults in power transformers depending on Dissolved Gas Analysis (DGA). In order to identify initial faults ...
IEEE

Calories Burnt Prediction Using ANN and XGBoost Regression Algorithms from Physical Activities

Abstract: Predicting the number of calories burned during physical activity is essential for managing personal fitness, health monitoring, and preventing lifestyle diseases. This study offers a ...
GitHub

TabPFGen: Synthetic Tabular Data Generation with TabPFN

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...
GitHub

SmartEraser: Remove Anything from Images using Masked-Region Guidance (CVPR 2025)

SmartEraser is a object removal model built on the novel Masked-Region Guidance paradigm. SmartEraser outperforms existing methods by smartly identifying the target object to remove while effectively ...
C&EN

Refining Air Pollution Exposure Estimates: A Comparison of Citywide and Neighborhood Land Use Regression Models in Toronto

Department of Civil & Mineral Engineering, University of Toronto, 35 St George Street, Toronto, Ontario M5S 1A4, Canada ...