IEEE

Enhancing Fashion Design with Conditional Generative Adversarial Networks: A CGAN Approach Using the Fashion-MNIST Dataset

Abstract: This research delves into the promising realm of Conditional Generative Adversarial Networks (CGANs) to explore their potential for crafting unique fashion item images. Leveraging the robust ...
IEEE

Investigating Data Consistency in the ASHRAE Dataset Using Clustering and Label Matching

Abstract: Data is a critical component in various fields, enabling researchers to perform analyses, improve decision-making, optimization, and scientific research. However, poor data quality can lead ...
GitHub

Low-Biased General Annotated Dataset Generation

We introduce an low-biased general annotated dataset generation (lbGen) framework which directly generates low-biased images with category annotations. We find that pre-training on our generated ...
GitHub

Anomaly Detection in Large-Scale Cloud Systems

This repository contains the code implementation for the ICSE SEIP 2025 paper titled "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset." The preprint for the paper is ...