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 ...
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
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

Project Overview 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 ...