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 ...

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 ...

Tesla has unveiled the long-promised cheaper versions of its two main cars, dubbed the Model 3 Standard and Model Y Standard, after the expiration of the $7,500 tax credit for American buyers of most ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...

Abstract: Accurately predicting EV range, influenced by multiple factors, is vital for its growth and user experience. This study uses a three - layer LSTM model. By simulating diverse driving ...

Aware of its deeply unpopular national brand, the Democratic Party is turning to an unusually large crop of veterans to help it retake the House next year. By Shane Goldmacher Reporting from New York ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

Abstract: Physical activity energy expenditure (PAEE) offers significant benefits for general healthcare monitoring and has the potential to promote healthy and active aging for elderly individuals.