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Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
This study explores the use of polarized second-harmonic generation (pSHG) to investigate myosin conformation in the relaxed state, differentiating between the actin-available, disordered (ON) state ...
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
A selective review of non-linear time series is presented. All of the three phases in the specification-estimation-verification modelling cycle are covered, but much of the emphasis is on ...
In today’s non-linear, rapidly shifting world, execution itself must become a strategic capability: dynamic, responsive, and ecosystem-aware.
In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...
Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have improved ...
This paper presents the non-linear control of an asynchronous machine. The objective of the nonlinear control is to control separately the flux and the speed. So we applied the technique of the ...
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...
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