Engineering diagram analysis has emerged as a pivotal discipline within the modern engineering landscape. Deep learning techniques are increasingly utilised to automatically digitise, interpret ...

Industrial process data are naturally complex time series with high nonlinearities and dynamics. To model nonlinear dynamic processes, a long short-term memory (LSTM) network is very suitable for soft ...

Distributed Denial of Service (DDoS) attacks represent the biggest threat towards the security and stability of IoT networks, and they can even cause a server crash, severely affecting services for ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...