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
CrimeIntel — AI-driven crime analytics and decision-support platform for the Karnataka Police, providing GIS-based intelligence, hotspot detection, risk scoring, forecasting, district & station analytics, and secure role-based dashboards.
A Privacy Enhanced Tool for predicting hotspot areas during pandemic, analyzing consumption trends and estimating contact matrix.
An automated, high-performance, low-cost lightweight distributed cache and preheating framework
GOES Anomaly Hunter: NOAA GOES satellite thermal anomaly detection workflow. Automated NetCDF4 processing, geospatial hotspot filtering, and reviewable candidate JSONL logs.
Lithography hotspot detection, process window analysis and optical proximity correction for advanced semiconductor nodes. C++, Rust, Go, Python, Julia, SystemVerilog, SQL, Tcl.
The repository applies Bayesian inference, Gaussian processes, Kalman filters, and particle filters to detect and track temperature hotspots across space and time. The methods are evaluated on simulated sensor data to estimate hotspot location, intensity, and temporal dynamics.
Next-Gen Law Enforcement Intelligence & Spatial Analytics Platform. Features PostGIS hotspot mapping, multi-hub criminal link analysis, tier-based RBAC with PII protection, and an AI-powered query assistant.
Local-first Git analytics. Hotspots, churn, contributor insights, and AI querying — right from your terminal
Multi-dimensional load imbalance detection and hotspot identification for cloud storage systems
Our entry for GIS Cup 2016
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.
Cloud-native geospatial-ML platform for India: fuses satellite (Sentinel-5P HCHO, MAIAC AOD), reanalysis & ground-station data to estimate surface air quality (CPCB NAQI) and detect HCHO hotspots with fire-transport attribution. BAH2026 PS-3.
AI-powered waste detection and hotspot mapping system for Dhaka. YOLOv8 detects waste in photos, tags GPS location, and identifies cleanup priorities on an interactive map.
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.
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.
Satellite-based Surface AQI Prediction & HCHO Hotspot Analysis over India
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