Natalya Shakhovska

Lviv Polytechnic National University · Department of Artificial Intelligence

This work proposes a numerical approach based on a machine learning method associated to neural network back-propagation algorithm to solve the inverse kinematic problem. The algorithm was tested on a redundant manipulator. Obtained numerical results exhibit acceptable accuracy and precision compatible with standard industrial applications.Keywords...

This study considers the task of applying artificial intelligence to recognize bank fraud. In recent years, due to the COVID-19 pandemic, bank fraud has become even more common due to the massive transition of many operations to online platforms and the creation of many charitable funds that criminals can use to deceive users. The present work focu...

The more complex the software system, the greater the number of possible combinations of defects that can cause errors, resulting in software defects that are difficult to isolate and expensive to correct in the development stage. An essential feature of such defects is a gradual deterioration in software performance finishing with software failure...

In this study, we substantiate the new mathematical model of vector of electroencephalographic signals, registered under the conditions of multiple repetitions of the mental control influences of brain–computer interface operator, in the form of a vector of cyclic rhythmically connected random processes, which, due to taking into account the stocha...

Chaos-based image encryption schemes are applied widely for their cryptographic properties. However, chaos and cryptographic relations remain a challenge. The chaotic systems are defined on the set of real numbers and then normalized to a small group of integers in the range 0–255, which affects the security of such cryptosystems. This paper propos...

In modern information and search automated systems, the main role is played by the human-machine interface for decision-making based on the detection of objects of a given class in the information field. The human operator, as an element of such an interface, carefully reviews the provided information on the information field – the monitor screen,...

The important task of software quality assurance is failure prediction. Time series forecasting methods can be successfully used for this purpose. This paper aims to study and compare the effectiveness of software failure prediction using different types of neural networks, in particular RBF neural network and recurrent neural networks (GRNN and LS...

Modern medical diagnosis, treatment, or rehabilitation problems of the patient reach completely different levels due to the rapid development of artificial intelligence tools. Methods of machine learning and optimization based on the intersection of historical data of various volumes provide significant support to physicians in the form of accurate...

This paper focuses on different types of backbone networks for machine learning architectures which perform classification of knee Magnetic Resonance Imaging (MRI) images. This paper aims to compare different types of feature extraction networks for the same classification task, in terms of accuracy and performance. Multiple variations of machine l...

Data normalization is a data preprocessing task and one of the first to be performed during intellectual analysis, particularly in the case of tabular data. The importance of its implementation is determined by the need to reduce the sensitivity of the artificial intelligence model to the values of the features in the dataset to increase the studie...

This paper aims to develop information technology for document optical character recognition systems. The difficulty of processing images, which are a set of pixels, causes inconvenience in working with such data. This problem can be solved in different ways: usual mathematical approaches, a single complicated neural network, and a set of problem-s...

The production of biocompatible medical implants is accompanied by technological and time costs. As a result, to be used in the human body, such a product must be of the highest quality. Assessing the quality of biomedical implants made of titanium alloys is relevant given their impact on the health and life of their wearer. In the case of the prod...

The modern technology universities have the necessary resource and material base for developing and transferring R&D products. However, the cost estimation process is not formalized. There are many methods of estimating the cost of R&D products’ commercialization processes. However, in some cases, we cannot consider any single technique to be the b...

This paper presents the progress implemented during the AURA project, funded by the Creative-Europe program with project partners from Germany, Italy, and Ukraine. The project aims to create auralized applications for three music venues in each of the project countries, namely the Konzerthaus Berlin, the Teatro del Maggio in Florence, and the Opera...

Starting from December 2019, the COVID-19 pandemic has globally strained medical resources and caused significant mortality. It is commonly recognized that the severity of SARS-CoV-2 disease depends on both the comorbidity and the state of the patient's immune system, which is reflected in several biomarkers. The development of early diagnosis and...

The paper is aimed at developing information technology for planning safe tourist trips. The difficulty of building a tourist route is to give the user the opportunity to build it with interesting tourist attractions. This kind of problem can be classified as a combinatorial optimization problem, the solution of which will be the salesman’s problem...

The purpose of this paper is to develop an information system that would detect a fall based on video stream analysis. This work contains research and a description of the subject environment and the structure of the system. An analysis of current scientific works in this area was conducted, which allowed defining the purpose and primary objectives...

The paper reports three new ensembles of supervised learning predictors for managing medical insurance costs. The open dataset is used for data analysis methods development. The usage of artificial intelligence in the management of financial risks will facilitate economic wear time and money and protect patients' health. Machine learning is associa...

This study deals with the present-day problem of analyzing data of music preferences of web users based on social and demographic factors. The paper also analyzes the basic parameters of the user profile, which include such parameters as music preferences and movie preferences, personality traits, hobbies and interests, views on life, spending habi...

The pandemic has exacerbated a wide range of medical, economic, and social factors that have affected people’s lives and health. A systematic approach to the study of these factors in Ukraine involves statistical and expert analysis in the field of health and socio-economic consequences of the pandemic. The article analyzes the state and problems o...

We propose and justify a numerical method for computing the double integral with variable upper limits that leads to the variableness of the region of integration. Imposition of simple variables as functions for upper limits provides the form of triangles of integration region and variable in the external limit of integral leads to a continuous set...

The work is aimed at solving a relevant for Ukraine and the world scientific and applied problem – the development of methods and means of constructing a psychophysical portrait of man to determine its stress resistance. For a number of professions, special methods of selecting personnel for special abilities are needed. Such abilities (qualities)...

Machine learning is used to develop predictive models to diagnose different diseases, particularly kidney transplant survival prediction. The paper used the collected dataset of patients’ individual parameters to predict the critical risk factors associated with early graft rejection. Our study shows the high pairwise correlation between a massive...

The paper presents the results of an experimental study regarding the influence on the recognition time of an object of a given color, from the background color on which this object is randomly localized. The following factors were taken into account: background orientation, object localization sector, area of the site with the object, color of thi...

The method of the analysis of different texts styles is developed in the paper. Integer numerical sequences are used as models. The elements of the sequence are the number of letters in the words of the text. The algorithm for calculating the exact value of the fractal dimension is developed. It provides the determination of the exact value of the...

The novel coronavirus disease (COVID-19) forced the Ukrainian government to introduce lockdown on March 12, 2020. In addition, the transition to distance learning in schools and universities has posed new challenges to the entire education system and young people. In this study, a survey of IT students was conducted using Google forms. The question...

Software defect prediction can improve its quality and is actively studied during the last decade. This paper focuses on the improvement of software defect prediction accuracy by proper feature selection techniques and using ensemble classifier. The software code metrics were used to predict the defective modules. JM1 public NASA dataset from PROMI...

The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, which will help identify critical personal characteristics based on conditioned space analysis. The co...

The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimental studies by clinicians, and were recorded on paper or in small electronic files. The advances in...

The Internet of Things (IoT) generates huge amount of data at an extremely fast pace. Thus, it is important to classify such data objects into different groups or clusters in order to gain some valuable insights from data. This paper aims to develop a dendrograms-based method for 3D visualization of hierarchical clustering for multidimensional data...

This paper presents the results of fractal analysis of models of texts of different styles. Integer numerical sequences, the elements of which are the number of letters in the words of the text, are used as models. An algorithm for calculating the exact value of the fractal dimension is presented, which provided the determination of the exact value...

The problem of effective intellectual analysis in the case of handling short datasets is topical in various application areas. Such problems arise in medicine, economics, materials science, science, etc. This paper deals with a new additive input-doubling method designed by the authors for processing short and very short datasets. The main steps of...

This paper is an extended and supplemented version of the paper "Recommendation Rules Mining for Reducing the Spread of COVID-19 Cases", presented by the authors at the 3rd International Conference on Informatics & Data-Driven Medicine in November 2020. The paper examines the impact of government restrictive measures on the spread and effects of CO...

In connection with the significant complication of research objects of technological systems and the considerable increase in expenses for carrying out experimental research, improving the mathematical modeling methods of these systems is a current problem. By using the means of mathematical modeling and optimization, the calculation of the main te...

The paper describes possibilities, which are provided by open APIs, and how to use them for creating unified interfaces which are based on recurrent neural networks. In the last decade AI technologies became widespread and easy to implement and use. One of the most perspective technology in the AI field is speech recognition as part of natural lang...

Finding dependencies in the data requires the analysis of relations between dozens of parameters of the studied process and hundreds of possible sources of influence on this process. Dependencies are nondeterministic and therefore modeling requires the use of statistical methods for analyzing random processes. Part of the information is often hidde...

The study deals with the methods and means of checking the reliability of usernames of online communities on the basis of computer-linguistic analysis of the results of their communicative interaction. The methodological basis of the study is a combination of general scientific methods and special approaches to the study of the data verification of...

The paper presents the methodological principles for estimating the cost of R&D products. In particular, it is established that the effectiveness of the chosen methodological approach depends on the level of technological readiness of development (for example, when the development is at low levels of technological readiness, it is more appropriate...

The paper proposed the development of an approach to modeling the nature of the individual's illness based on the ensemble of machine learning algorithms. Some factors may adversely affect the conduct, interpretation and generalization of research results, and the understanding and interpretation of the phenomenon under study. The paper proposed to...

This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective...

The article presents the results of research on the possibilities of using genetic algorithms for solving the multicriteria optimization problem of determining the active components of a wind farm.Optimization is carried out on two parameters: efficiency factor of wind farm use (integrated parameter calculated on the basis of 6 parameters of each o...

The three-stage approach for missing data imputation in Big data interface is proposed in the paper. The first stage includes designing the Big data model in the task of missing data recovery, which enables to process the structured and semistructured data. The next stage is developing the method of missing data recovery based on functional depende...

The purpose of this paper is to develop a hybrid model Ukrainian language sentiment analyzer, which should improve the accuracy of the mood definition to expand the Ukrainian language among the instruments on the market. The object of research is the processes of determining the language of the text and predicting its sentiment score. The subject o...

Наведено нові методи та рішення щодо побудови моделі поведінки користувачів, які дадуть змогу виявити закономірності планування зустрічей друзів на підставі аналізу їхнього щоденного руху. Для цього попередньо проаналізовано низку методів і алгоритмів кластеризації даних і виокремлено особливості їхнього застосування. З'ясовано, що основними перева...

Dataset for Covid`19 resistance evaluation from Ukraine, Germany and Belarus

The paper proposes a new principle of finding and removing elements of mathematical model, redundant in terms of parametric identification of the model. It allows reducing computational and time complexity of the applications built on the model. Especially this is important for AI based systems, systems based on IoT solutions, distributed systems e...

An improved software defects prediction algorithm based on combination of Kohonen map and hierarchical clustering is presented in this paper. The need for software reliability assessment and analysis growths rapidly due to increasing dependence of our day-to-day life on software-controlled devices and systems. Software reliability prediction is the...

Background Increasing the amount of information generated as a result of smart city activity leads to the problem of its accumulation and preprocessing. One type of data preprocessing is clustering. The cluster analysis is an objective method of classification. It provides an appropriate choice of further processing methods as well as the visualiza...

The study was conducted by applying machine learning and data mining methods to treatment personalization. This allows individual patient characteristics to be investigated. The personalization method was built on the clustering method and associative rules. It was suggested to determine the average distance between instances in order to find the o...

The study was conducted on applying machine learning and data mining methods to personalizing the treatment. This allows investigating individual patient characteristics. Personalization is built on the clustering method and associative rules. It was suggested to determine the average distance between instances for optimal performance metrics findi...

The transient electromagnetic (TEM) method is a time-domain, controlled source, electromagnetic (EM) geophysical technique which is often applied to image the subsurface conductivity distributions of shallow layers due to its effectiveness and adaptability to complex site working conditions. The means for an express analysis of such experimental da...

This paper presents the features of an educational and methodological resource complex for students with special needs (disabilities). Approaches to the organization of the learning process of students with disabilities are considered. Different methods and techniques are proposed to deliver lectures, conduct practical and laboratory classes. The a...

In the article, the conceptual model of tourists’ guide system is created. Proposed model is based on clustering of tourists’ object by user request, finding the fastest way to the chosen objects taking into account switching of traffic lights. The MongoDB is chosen for database creation. Information about interested tourists place is taken using G...

The intelligent system of a smart house, which is designed to create from any house, office, or building a smart room, was created in the overall process. Recent trends in technology development demonstrate that more and more things are being automated around us. Even ordinary things become «smarter» and open a new functional use. This has led to a...

The author’s method of assessing the readiness level of the research and development for commercialization in the market named TAPDS is developed. The TAPDS method thoroughly takes into account the market component and the readiness of consumers to acquire the research and development. The author’s TAPDS methodology, in contrast to the existing met...

This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on important topics in intelli...

The paper discusses a virtual computer game laboratory named SAUDAI as an innovative method of teaching IT students that will encourage them to learn and generate students’ interest in learning and research. The system is designed to provide students with convenient environment for development and testing of artificial intelligence and motivate stu...

Preliminary processing of primary geophysical data, automatically transmitted from the regime geophysical station to the daily specific files confirmed the feasibility of using such approaches. The purpose of the research is to focus on the choice of simple methods of primary data processing and the development of appropriate mathematical models of...

The article describes a three-level training robotics platform for use in the learning process. The proposed platformis an organic part of the modern spiral of development of information processes and systems and allows to improve thequality of the educational process, to increase its orientation towards practical experience and to reflect the curr...

Зроблено акцент на аерокосмічних зображеннях, методах їх отримання та застосування. Якість отриманих первинних зображень часто не відповідає потребам кінцевих користувачів. Якщо спотворювальним чинником для зображення є шум, то використовуються передусім фільтри, що з різним успіхом усувають різні типи шумів. Виділено групу сучасних систем та засоб...

Порівняно основні властивості нелінійних методів контурного аналізу за вимогами у використанні обмеженості обчислювальних ресурсів апаратних засобів. Для цього було проаналізовано загальні поняття про нелінійні алгоритми пошуку контурів на зображеннях та було обрано 4 методи для проведення подальшого аналізу. З них 3 методи з ковзною маскою 3´3, а...

The paper describes possibilities, which are provided by open APIs, and how to use them for creating unified interfaces using the example of our bot based on Google API. In last decade AI technologies became widespread and easy to implement and use. One of the most perspective technology in the AI field is speech recognition as part of natural lang...

Big Data technology is described. Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. There is constructed dataspace architecture. Dataspace has focused solely - and passionately - on providing unparalleled expertise in business intelligence and data warehousing strategy and...