Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often ...

This project implements an advanced predictive maintenance framework for wind turbines by leveraging digital twin technology and a hybrid deep learning model. The system integrates real-time SCADA ...

Learn more about the relationship between Machine Learning vs Deep Learning vs Foundation Models and how they effect AI models working as a ...

Supervisory Control and Data Acquisition (SCADA) systems are crucial for modern industrial processes and securing them against increasing cyber threats is a significant challenge. This study presents ...

Our results using realistic SCADA traffic data sets show that the proposed deep-learning-based approach is well-suited for network intrusion detection in SCADA systems, achieving high detection ...

Deep learning algorithms are being integrated into the metaverse to improve communication and interaction with customers and visitors.

• This is the first study to consider the problem of adapting a deep learning wind power predictive model with small samples. • Meta-learning is combined with reservoir computing for the first time to ...