GitHub

Stock Price Prediction using LSTM

This project implements a stock price prediction model using Long Short-Term Memory (LSTM) networks to forecast short-term future stock prices based on historical data. Stock markets are time-series ...
IEEE

Integrated Artificial Intelligence and Physics-Based Modeling for Long-Term Cascaded Hydropower Scheduling Under Extreme Heat Events

Abstract: The operation of hydropower plants are significantly challenged by extreme heatwave events. This paper integrates artificial intelligence and a physics-based model to introduce an efficient ...
IEEE

Price Forecast of Treasury Bond Market Yield: Optimize Method Based on Deep Learning Model

Abstract: Accurate forecasting of the treasury bond market is beneficial for financial institutions to formulate investment research strategies and for national managers to build a modern financial ...
Investopedia

Understanding Multivariate Models: Forecasting Investment Outcomes

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
University of Sheffield

Multivariate meta-analysis TSD

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
GitHub

CLAM: CNN-LSTM-AM Stock Price Prediction Model

This project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...