GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
IEEE

Wavelet Transform and LSTM to Improve Wind Energy Forecasting

Abstract: The present work deals with the improvement of short-term wind energy forecasting techniques by combining time series decomposition techniques (Wavelet Transform) and Deep Learning recurrent ...
IEEE

A Hybrid LSTM-GRU Model for Stock Price Prediction

Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...
GitHub

Kabiriri/Building-trading-bot-to-predict-and-trade-bitcoin.-

Bitcoin's extreme volatility challenges traditional trading tools. This project delivers an AI trading bot that predicts short-term BTC/USD price movements using deep learning and ensemble strategies, ...