Aim: The proposed work aim was to monitor real-time attendance using face recognition in
every institutional sector. It is one of the key concerns in every organization. Background …

Convolutional neural networks (CNNs) have been successfully applied to many tasks such
as digit and object recognition. In this paper we study the size of the receptive field of deep …

For practical use, the relevance of indoor surveillance from multiple cameras to track the
movement of people and reidentify them in video sequences is constantly increasing. This is …

Sustainable development of modern smart city depends on safety of its citizens and efficient
management of the resources. Instant response to incidents and abnormal situations …

Poultry meat is one of the most consumed livestock products in Indonesia. Several studies
have concluded that understanding the behavior of poultry will increase production cost …

One of the problems solved by analyzing the data of long-term Video EEG monitoring is the
differentiation of epileptic and artifact events. For this, not only multichannel EEG signals are …

The article is dedicated to the search for a biologically motivated mechanism of the cognitive
phenomenon of violation of the classical formula of total probability for the disjunction of …

The human factor plays a significant role in ensuring the integrated safety of technological
facilities. It is important to monitor the state of the operator of automated process control …

This paper investigates the accuracy of convolutional neural network recognition of
Laguerre and Hermite-Gauss optical modes with geometric distortions in the form of affine …

Recent years have seen a flurry of activity in the field of security research devoted mostly to
the topic of video surveillance. The goal of installing an Intelligent surveillance system is to …