In this paper we propose a new efficient algorithm, the в STP-solver, for computing the
minimal network of the Simple Temporal Problem (STP). This algorithm achieves high …

The increasing use of the Internet with vehicles has made travel more convenient. However,
hackers can attack intelligent vehicles through various technical loopholes, resulting in a …

In this paper, we present a novel approach for extracting emotional information along with
the state of intoxication. Conventional methods use features for identifying the state of …

In the last few years, the number of systems and devices that use voice based interaction
has grown significantly. For a continued use of these systems, the interface must be reliable …

This paper presents the development of a dynamic emotional model to be employed in
agent societies. The proposed model is based on the PAD emotional model and allows the …

In this paper, we propose a two level hierarchical ensemble of classifiers for improved
recognition of emotion from speech. At the first level, Mel Frequency Cepstral Coefficients …

N past years, many researchers have paid attention to the recognition of nonverbal
information, and have especially focused on emotion recognition. Many kinds of …

Emotion recognition plays a significant role in Human Computer Interaction (HCI) field for
effective communication. The aim of this study is to built a generic emotion recognition …

Przedmiotem artykułu jest problematyka wykorzystania sztucznej inteligencji do
przewidywania reakcji zakupowych konsumentów. Celem artykułu jest przedstawienie …

Crimes and corruptions are practices that gradually cripple the economy of a nation most
especially in Nigeria. Nigerian government has strived hard to reduce these acts perpetrated …