Python
Graph Neural Network
Agricultural Futures Trading Decision Using AI Agent with Multiscale Candlestick Analysis
The aim to build an AI system that helps traders make better decisions during unpredictable and high-volatility market periods. To automate chart reading and reduce human error by using AI to analyze patterns and market behavior. It create a smarter trading assistant that can learn from past results and provide more reliable buy/sell guidance.
Rank Fusion-Based Crime Scene Shoeprint Image Retrieval
Aim:
The aim of the document project is to develop an automated shoeprint image retrieval system for forensic investigation. The system focuses on matching crime-scene shoeprints with reference images using handcrafted visual features. It seeks to improve retrieval accuracy through rank-level fusion of multiple descriptors.