Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs

Predictive Guardians: An AI-driven crime prevention solution utilizing advanced analytics, machine learning, and optimization. Uncover crime patterns, profile offenders, forecast trends, and allocate resources optimally. Empower agencies with actionable insights to proactively build safer communities. 🚔💻🌍

Hotspot detection using Weighted Kernel Density Estimation for Korean COVID-19 trajectory data

A Privacy Enhanced Tool for predicting hotspot areas during pandemic, analyzing consumption trends and estimating contact matrix.

Local-first Git analytics. Hotspots, churn, contributor insights, and AI querying — right from your terminal

Our entry for GIS Cup 2016

广东工业大学2025届本科毕业设计创新奖作品。This repository presents a 2025 undergraduate thesis from Guangdong University of Technology (Automation). It proposes a GNN-based lithography hotspot detection algorithm for IC layouts, received the Outstanding Innovation Award.

Space Apps COVID-19 Challenge

Autopsy your code. AST-level code quality analyzer for TypeScript & JavaScript — quality scoring (A–F), cyclomatic & cognitive complexity, 13 lint rules, baseline tracking, hotspot detection, plugin system, JSON/HTML/SARIF output.

Utilized machine learning algorithms (K-Means, Birch, Gaussian Mixture Model, Hierarchical Clustering, Mean-Shift Clustering) to identify hotspots. Validation with Silhouette Score and Heatmap. Hierarchical Clustering scored 0.943, demonstrating exceptional performance.