In this contribution we present two experimental scenarios in which we employed Self Organizing Maps (SOMs) to detect affective states. The first scenario is related towards designing a “Personal Stress Prevention Assistant”: we summarize our efforts to detect affective information related to stress in the posture channel. We show that a person-independent discrimination of stress from cognitiv...

 Anomaly detection and misuse detection are two major types of network intrusion detection systems.  Machine learning approaches have been used for anomaly detection. In particular, approaches based on self-organizing maps (SOMs) of artificial neural networks have shown effectiveness at identifying “unknown” attacks.  Effectiveness of using traditional SOM models is limited by the static nat...

This study presents an idea of transistor level realization of the fisherman learning algorithm of Self-Organizing Maps (SOMs) which is described in [4]. The realization of this algorithm in hardware calls for a solution of several specific problems not present in software implementation. The main problem is related to an iterative nature of the adaptation process of the neighboring neurons pos...

Cellular reprogramming highlights the epigenetic plasticity of the somatic cell state. Long noncoding RNAs (lncRNAs) have emerging roles in epigenetic regulation, but their potential functions in reprogramming cell fate have been largely unexplored. We used single-cell RNA sequencing to characterize the expression patterns of over 16,000 genes, including 437 lncRNAs, during defined stages of re...

Visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities. Different methodologies are available for analyzing large multidimensional data sets and providing insights with respect to scientific, economic, and engineering applications. This problem has traditionally been formulated as a non-linear mathematica...

This paper takes for granted the structural urbanisation trend in our world. It argues that there is a global competition among world cities in different parts of our planet. It aims to map out the relative disparities among a preselected set of major global cities by offering a benchmark analysis of these cities on the basis of a recently completed comparative study on their socioeconomic ‘pow...

Normative regulations on benzene in fuels and urban management strategies are expected to improve air quality. The present study deals with the application of self-organizing maps (SOMs) in order to explore the spatiotemporal variations of benzene, toluene, ethylbenzene, and xylene levels in an urban atmosphere. Temperature, wind speed, and concentration values of these four volatile organic co...

This paper highlights the ‘magic of diasporas’ − as a source of progress in a globalizing world − with special attention for migrant (or ethnic) entrepreneurship. The present study aims to identify and examine the critical critical success factors of migrant enterprises and their socioeconomic implications in modern cities. We will assess the business performance of migrant entrepreneurs by emp...

We propose a method of content-based multimedia retrieval of objects with visual, aural and textual properties. In our method, training examples of objects belonging to a specific semantic class are associated with their low-level visual descriptors (such as MPEG-7) and textual features such as frequencies of significant keywords. A fuzzy mapping of a semantic class in the training set to a cla...

The most prominent use of Self-Organizing Maps (SOMs) in text archiving and retrieval is the WEBSOM. In WEBSOM, a map is first used to reduce the dimensionality of the huge term frequency table by training a so-called word-category map. This wordcategory map is then used to convert the individual documents into their respective document signatures (i.e. histogram of words) which form the basis ...