GitHub

Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference

This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...
IEEE

A Robust Hybrid Classical and Quantum Model for Short-Term Wind Speed Forecasting

Abstract: Power scheduling by power utilities is more difficult than in the past decades because of a high penetration of renewable power generation, such as wind power generation, with highly ...
GitHub

csce585-mlsystems/cae_cylinder

Predicts velocity and pressure fields for various Reynolds numbers. Integrates CAE for dimensionality reduction and reconstruction. Uses LSTM to capture temporal dynamics for short-term predictions.
CBS News

America's deepening affordability crisis summed up in 5 charts

Aimee Picchi is the associate managing editor for CBS MoneyWatch, where she covers business and personal finance. She previously worked at Bloomberg News and has written for national news outlets ...
UCL

Sickness Absence Policy - Appendix F: Flow Chart for Formal Procedures for Managing Sickness Absence

Prior to the formal procedures being triggered, the line manager must provide informal indication to the employee that this may happen, for example during a previous return to work meeting. If ...
IEEE

Subway Short-term Passenger Flow Prediction Based on Improved LSTM

Abstract: An improved long short-term memory (LSTM) model based on ensemble empirical mode decomposition (EEMD) is designed for short-term passenger flow prediction in view of the complex dynamics, ...