Daniel Clark, Group Commercial Director at EveryMatrix, outlines three key client success stories that highlight the ...
As industrial facilities and power-generation assets navigate a decade defined by modernization and efficiency requirements, ...
General Semi-Nonnegative Matrix Factorization and Its Application for Statistical Process Monitoring
Abstract: As an effective feature extraction and dimensionality reduction technique, nonnegative matrix factorization (NMF) has been widely applied in fault detection in recent years. The requirement ...
Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located.
Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality ...
Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...
The extreme catastrophic nature of earthquakes is known for centuries due to resulted devastation in many of them. The abruptness along with apparent ...
Abstract: In this paper, a P-type adaptive predictive control (PAPC) method is presented for a category of unknown multi-input multi-output (MIMO) discrete-time systems with nonaffine nonlinear ...
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