Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

A machine learning web application that predicts the next day's closing price for the EUR/USD currency pair using historical data and LSTM neural networks. ML-Project/ ├── app.py # Flask web ...

Nick is a freelance writer from Chicago, IL, with a BA in Creative Writing from the University of Illinois at Urbana-Champaign. His lifelong belief in the artistic power of video games led him to ...

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

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

ABSTRACT: 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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: A time series prediction model based on LSTM is constructed, and a gating mechanism is introduced to effectively model the nonlinear and long-term dependent series features. On the basis of ...