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

Optimizing Household Energy Consumption Prediction with Recursive Feature Elimination and LSTM-Keras

Abstract: Accurate prediction of household energy consumption is crucial for effective resource management, cost reduction, environmental sustainability, and the stability of energy grids. This paper ...
IEEE

KAN-LSTM Enhanced Multi-Agent Advantage Actor-Critic Reinforcement Learning for Autonomous Ramp Merging

Abstract: Autonomous ramp merging represents one of the most challenging scenarios for autonomous vehicles (AVs), re-quiring safe interaction with human-driven vehicles (HDVs) while maintaining ...