This paper discusses a concept of Self-Organizing Learning Array developed for programmable hardware realization. This system is designed for solving an unspecified machine-learning problems such as classification and recognition. Basic design of the array including neurons interconnections and organization is described. Symbolic values assignment method and selforganizing principle are also di...

one of the most important problems of the designs proposed by traditional economic-statistical approaches of control charts is inefficiency in the face of uncertainty. uncertainty in the parameters of economic-statistical models may lead to failure in rapidly detecting changes in processes and impose greater costs to the organization. monitoring the machining process in an automotive industry e...

There are two main approaches to binary classification problems: the loss function approach and the uncertainty set approach. The loss function approach is widely used in real-world data analysis. Statistical decision theory has been used to elucidate its properties such as statistical consistency. Conditional probabilities can also be estimated by using the minimum solution of the loss functio...

Introduction: GATE (Geant4 Application for Tomographic Emission) is a Monte Carlo simulation platform developed by the OpenGATE collaboration since 2001 and first publicly released in 2004. In Geant4, each physics process is described by a model (several models are sometimes available for a given physics process) and a corresponding cross-section table. All Geant4 physics model...

In many application areas, e.g., in medical applications, it is important to be able to get statistical information about the data without disclosing individual cases. One of the methods to preserve privacy in such statistical databases is to introduce uncertainty, i.e., to replace the exact values with intervals of possible values. In this talk, we show that while the introduction of uncertain...

The performance of metasurfaces measured experimentally often discords with expected values from numerical optimization. These discrepancies are attributed to the poor tolerance metasurface building blocks respect fabrication uncertainties and nanoscale imperfections. Quantifying their efficiency drop according geometry variation crucial improve range application this technology. Here, we prese...