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 ...
├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...
Researchers have developed a hybrid AI model that significantly improves the accuracy and environmental sustainability of solar power forecasting. The study advances practical tools to support the ...
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) ...
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 ...
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 ...
1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...
Google completes March 2025 Core Update rollout after two weeks of implementation across search results worldwide. Google's March Core Update is finsihed rolling out. The rollout took two weeks to ...
1 State Grid Wuxi Power Supply Company, Wuxi, China 2 Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China The monitoring condition of the cable laying conveyor, such ...
The video game industry has evolved leaps and bounds over the last half century, from simple arcade-like gameplay to highly immersive, intelligent, and interactive gaming. With advancements in ...
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 ...