Users must ensure they use deep search AI tools in conjunction with traditional library databases and other more established ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A novel deep architecture, the sparse deep tensor extreme learning machine (SDT-ELM), is presented as a tool for pattern classification. In extending the original ELM, the proposed SDT-ELM gains the ...

This annual awards celebrates the products exhibited at ISTELive that are transforming education in schools around the world.

Deep learning has become a research hotspot in the field of network intrusion detection. In order to further improve the detection accuracy and performance, we proposed an intrusion detection model ...

TabNet is a novel deep learning model specialized for extracting a subset of semantically important features from tabular data such as patient information. Although several studies have been reported ...

To address this challenge, deep learning methods have been developed to predict fluorescence lifetimes directly from raw TCSPC data at low photon counts. A variety of architectures have been reported, ...