IEEE

Comparison of LSTM and ARIMA Algorithms in Predicting Water Levels in Jakarta

Abstract: This study evaluates the efficacy of Long Short-Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA) algorithms in forecasting water levels (TMA) in Jakarta. The dataset ...
GitHub

Time Series Analysis with LSTM, ARIMA, Prophet, and Anomaly Detection

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...
Frontiers

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium ...

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
IEEE

A LSTM Algorithm for Accounting Digital Management and Audit Risk Forecast

Abstract: This study explores the application of the Long Short-Term Memory (LSTM) algorithm in digital accounting management and audit risk prediction, addressing the challenges of low efficiency and ...
GitHub

Traffic Volume Prediction Using LSTM

This project implements a Long Short-Term Memory (LSTM) model using MindSpore to predict traffic volume based on historical data and various weather conditions. The dataset contains traffic volume ...