IEEE

Optimizing Hybrid Classification Using 1D-CNN and LSTM for EEG-Based Emotion Recognition

Abstract: This research aims to enhance the ability of computers to classify emotional states from brain signals using EEG data. Emotions are complex mental states that can significantly affect a ...
IEEE

Brain Tumor Detection and Classification Using LSTM

Abstract: Brain tumor detection and classification play a crucial role in medical imaging, where timely and accurate diagnosis can significantly impact patient health. This study proposes an approach ...
GitHub

Intelligent FOREX Exchange Rate Forecasting using Hybrid GARCH-LSTM and Big Data Analytics

This project implements a hybrid GARCH-LSTM architecture for forecasting FOREX exchange rate volatility, specifically focusing on the EUR/USD currency pair. The research combines traditional ...
GitHub

Space Domain Awareness AI System

A production-grade space tracking and threat assessment system that processes 1,000 space objects in real time. The system ingests TLE orbital data, runs it through a 7-model ML ensemble (4 neural + 3 ...