An article introduces a modified architecture of the neo-fuzzy neuron, also known as a"
multidimensional extended neo-fuzzy neuron"(MENFN), for the face recognition problems …

Time-frequency and time dependence of the output signal morphology of nonlinear
oscillator neuron based on Van der Pol model using analytical and numerical methods were …

Temporal clustering (segmentation) for video streams has revolutionized the world of
multimedia. Detected shots are principle units of consecutive sets of images for semantic …

Data Mining is gaining immense popularity in the field of education due to its predictive
capabilities. But, most of the prior effort in this area is only directed towards prediction of …

The classification task is one of the most widespread among the tasks of Data Mining-spam
detection, medical diagnosis, ad targeting, risk assessment and image classification …

An adaptive neural system which solves a problem of clustering data with missing values in
an online mode with a permanent correction of restorable table elements and clusters' …

The paper presents the technology of gene expression profiles reducing based on the
complex use of fuzzy logic methods, statistical criteria and Shannon entropy. Simulation of …

The paper presents the technology of gene expression profiles filtering based on the
wavelet analysis methods. A structural block-chart of the wavelet-filtering process, which …

In the article, the conceptual model of tourists' guide system is created. Proposed model is
based on clustering of tourists' object by user request, finding the fastest way to the chosen …

This manuscript presents the economic research results based on their input-output
characteristics and functional description with inductive modeling methods and tools. There …