Building an AI Driven Portfolio Management System: From Machine Learning Basics to Advanced Implementation

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Scientific Research Publishing

A Mathematical Formulation of the Valuation of Gold as an Inflation Hedge in the United States ()

The literature has long viewed gold as an inflation hedge. The reasoning is that when inflation rises due to macroeconomic ...
IEEE

Applying Hybrid Quantum LSTM for Indoor Localization Based on RSSI

Abstract: A recent study showcased the efficacy of Long Short-Term Memory (LSTM) in significantly reducing average indoor localization Root Mean Square Error (RMSE ...
IEEE

Vehicle Trajectory Prediction Using Hierarchical LSTM and Graph Attention Network

Abstract: Vehicle trajectory prediction (VTP) is an important task that can enhance the safety and efficiency of autonomous driving. However, existing VTP methods often struggle to fully extract ...