Sparse coding is a popular technique for achieving compact data representation and has been used in many applications. However, the instability issue often causes degeneration in practice and thus ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

If the second quarter had any lessons for investors, one of the most important was the value of keeping a long-term ...

XLP is a good choice at a strategic level considering the sector’s resilience during downturns and its reasonable valuation.

Overview of Structural Health Monitoring MarketThe global Structural Health Monitoring Market is valued at USD 3.68 Billion ...

Ward boundary adjustments are essential to ensure balanced population representation across all wards,' said Ward 2 Coun.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

A Loughborough University student has developed a new medical device that could transform how prostate health is assessed and ...

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

The Paris-based AI startup is also pursuing considerable debt financing from French banks, including existing investor ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Materials testing enables selection of graphite grade and licensing for its Generation IV Integral Molten Salt Reactor (IMSR) ...