Article list

Development and testing of methods of causal analysis of measured time series and paradoxical results in applications

(Investigators: A. Krakovská, M. Chvosteková, J. Jakubík) Causal analysis of large volumes of measured data is becoming a hot topic of research. Existing techniques have been shown to be insufficient and their non-critical use often leads to completely incorrect conclusions. We have been working intensively on this topic for several years. We test existing methods…

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Object recognition in color images of a complex scene based on hierarchical temporal memory in combination with the detection of significant areas

Investigator: I. Bajla Biologically inspired hierarchical temporal memory (HTM) is one of the successful deep intelligent networks. However, its disadvantage is that it cannot be used directly to solve the detection and recognition of objects in multi-object color images of a complex scene. The basic goal of our research was to find a way to…

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Clustering of symptoms of intracranial pressure time series for estimation of alarm function in traumatic brain injuries

Investigators: M. Teplan, I. Bajla, R. Rosipal) When monitoring patients with severe head injury, the so-called method is used in clinical practice. critical value of the intracranial pressure time course (VLT). Exceeding this threshold is evaluated as an alarm situation, on the basis of which the medical staff initiates an emergency procedure (protocol) to save…

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