Abstract: Respiration is a key physiological process, and tightly coupled with other physiological systems such as the neural system. Insects are emerging as critical model systems. Yet there is a lack of tools for insect respiration study, due to ...

The article presents an algebraic model for solving the problem of automation of ophthalmological diagnostics written in the language of descriptive image algebras. Descriptive image algebras are an initial mathematical language for formalizing ...

The main scientific results of the 16th International Conference on Pattern Recognition and Information Processing (PRIP-2023), Minsk, Republic of Belarus, October 2023, are reviewed and analyzed. The history of this series of conferences is ...

It is not uncommon for a person to be alone when they have a heart attack. Getting help quickly can mean the difference between life and death. The pain a person feels during a heart attack may prevent them from seeking help in time, so automated ...

This work uses social media postings as a proxy for missing legal underage consumption data to quantify e-cigarette tax effects.

E-cigarette use, or vaping, is a public health concern, with particular worries about underage use. The U.S. government is expected to introduce federal taxation on vaping. The potential deterrent effect of such a tax on underage users is understudied ...

Green Infrastructure (GI) has garnered increasing attention from various regions due to its potential to mitigate urban heat island (UHI), which has been exacerbated by global climate change. This study focuses on the central area of Fuzhou city, ...

This paper provides a short survey of the main direction of activity of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS) in the areas concerning the topics of the journal Pattern ...

This paper is devoted to a review of the achievements of the Moscow scientific school of image recognition, formed under the leadership of Professor Vladimir L’vovich Arlazarov, in the field of development and application of the Viola–Jones ...

General methods of image processing, analysis and enhancement and their biomedical applications developed by the scientific school of the Laboratory of Mathematical Methods of Image Processing of the Faculty of Computational Mathematics and ...

The review presents the history of the creation and work of the Scientific Council “Cybernetics” (SCC)—the center for development of cybernetics in the USSR and Russia. The Council’s activity is covered as a structure that coordinates scientific ...

Preface to the Special Issue of the journal PRIA “Leading Scientific Schools in Image Analysis, Pattern Recognition, and Related Problems of Computer Science in the USSR, the Republic of Belarus and the Russian Federation.” The main scientific ...

Using image analysis tools and statistical tests, this article compares f-clefs taken from Mozart’s Thematic Catalogue with clefs taken from two of his autograph manuscripts. Based on the assumption that the natural variation of a single composer’...

A fundus image is a two-dimensional pictorial representation of the membrane at the rear of the eye that consists of blood vessels, the optical disc, optical cup, macula, and fovea. Ophthalmologists use it during eye examinations to screen, diagnose, and ...

Is there a limited supply of good image trademarks? Trademark law long rested on the assumption that there is an inexhaustible supply of good marks that provide businesses with sufficient economic advantages to engage in effective branding. However, this ...

Humans can assimilate the context between information from a few perceived data, and this statement applies to the context in images. In machine learning, an image’s context can be represented and predicted using graph convolutional networks. In ...

Eye health has become a global health concern and attracted broad attention. Over the years, researchers have proposed many state‐of‐the‐art convolutional neural networks (CNNs) to assist ophthalmologists in diagnosing ocular diseases ...

The paper presents the features of the development of a neural network analyzer of image detail. The neural network analyzer is a binary classifier based on the algorithm of search and identification of small image structures with different levels ...

COVID-19 is a violent disease that rapidly transmits from human to human until the world pandemic. The preliminary screening for this disease is the reverse transcription-polymerase chain reaction (RT-PCR) testing, but the chest X-ray imaging in the ...

Facial beauty analysis is an important topic in human society. It may be used as a guidance for face beautification applications such as cosmetic surgery. Deep neural networks (DNNs) have recently been adopted for facial beauty analysis and have ...