C&EN

Research on Remaining Useful Life Prediction of PEMWE Stack Based on the LSTM-iTransformer ...

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...
Frontiers

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne ...

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
Frontiers

A hybrid VMD-LSTM-SVR model for landslide prediction

Landslides are one of the most prevalent natural geological disasters, causing significant economic losses, damaging public environments, and posing severe threats to human lives. Landslide ...
IEEE

CNN-LSTM Model for Cotton Yield Prediction Using Remote Sensing Data

Abstract: This research presents a hybrid CNN-LSTM model for predicting cotton production using remote sensing data. The model integrates the spatial feature extraction capability of Convolutional ...
WealthManagement.com

RIA Model Portfolio Assets Rose 5.5% in Q1

A first-quarter 2025 “Model Portfolio Trend” report compiled by fintech firm Broadridge Financial Solutions confirms that financial advisors have increasingly gravitated to model portfolios. The ...
IEEE

Portfolio Research Based on LSTM Model

Abstract: In this paper, the LSTM model is used to predict the stock prices of the top 10 constituents of CSI 300 index and construct a portfolio. The empirical results show that the LSTM model ...