Mariusz Topolski

Wrocław University of Science and Technology | WUT · Department of Systems and Computer Networks

Social capital is an important asset for the development of communities, including communities linked to specific types of libraries. Despite numerous studies, no models dedicated to measuring this specific area have been developed yet. The paper proposes a model predicting the level of social capital among library workers with the use of machine l...

Background Patients with inborn errors of immunity (IEI) experience recurrent infections, autoimmunity, and malignancies. Owing to repeated medical procedures, the need for constant treatment and surveillance, and the unpredictable course of the disease, patients with IEI are prone to develop mental health disorders, including anxiety. In this stud...

In literature relevant to this topic, attention is mainly paid to the qualitative and quantitative identification of defects in housing construction, and the factors that cause these defects. There is a research gap regarding the quantitative relationships between factors and defects, and the identification of factors that have a decisive impact on...

Citation: Rzetala, M.; Topolski, M.; Solarski, M. Classification of Water Reservoirs in Terms of Ice Phenomena Using Advanced Statistical Methods-The Case of the Silesian Upland (Southern Poland). Water 2023, 15, 3925. https:// Abstract: Ice phenomena occurring in water bodies are an important indicator of natural changes (e.g., climate change) and...

Background: Depression is a common problem in patients with cardiovascular diseases. Identifying a risk factor model of depression has been postulated. A model of the risk of depression would provide a better understanding of this disorder in this population. We sought to construct a model of the risk factors of depression in patients following ca...

Background The study aimed to assess the severity of symptoms of anxiety and depression in children with previously diagnosed psychiatric disorders during the COVID-19 pandemic in Poland. Methods Online questionnaires were used to investigate three groups of subjects: patients with a psychiatric diagnosis, primary school pupils, and children from...

This article presents research that aims to identify waste reduction methods used in the construction industry in relation to the following materials: steel, concrete, masonry products, finishing products (i.e., ceramic, and stone tiles), and wood and the dependence between the use of these methods and the size of the construction company. The rese...

Background: Patient-reported outcomes (PROs) which demand special attention and immediate help are referred to as PROs alert. Suicidal ideation (SI) is one of the PROs alerts which are insufficiently investigated. The aim was to assess the prevalence and risk factors for SI in patients following cardiac surgery. Methods: A total of 190 patients...

Feature engineering is a branch of science that provides tools to support, for example, the preparation of feature spaces for a pattern recognition task. The present work focuses on the problem of feature extraction. The proposed model is based on the mechanisms of PCA principal component analysis. It fills a gap in the implementation of feature ex...

The construction industry is an economic sector that is characterized by seasonality. Seasonal factors affect the volume of production, which in turn affects the accident rate. The aim of the research presented in the article was to develop a model for predicting the number of people injured in occupational accidents in the construction industry. B...

Feature extraction is an important part of data processing that provides a basis for more complicated tasks such as classification or clustering. Recently many approaches for signal feature extraction were created. However, plenty of proposed methods are based on convolutional neural networks. This class of models requires a high amount of computat...

Introduction The aim of this research study was to compare the situation concerning the use of microbiology testing, the epidemiology of healthcare-associated infection (HAI) and antimicrobial consumption (AMC) in Polish long-term care facilities (LTCFs) with other European countries, using the most recent findings available in the European databas...

The features that are used in the classification process are acquired from sensor data on the production site (associated with toxic, physicochemical properties) and also a dataset associated with cybersecurity that may affect the above-mentioned risk. These are large datasets, so it is important to reduce them. The author's motivation was to devel...

Many different decision problems require taking a compromise between the various goals we want to achieve into account. A specific group of features often decides the state of a given object. An example of such a task is the feature selection that allows increasing the decision’s quality while minimizing the cost of features or the total budget. Th...

The vast majority of medical problems are characterised by the relatively high spatial dimensionality of the task, which becomes problematic for many classic pattern recognition algorithms due to the well-known phenomenon of the curse of dimensionality. This creates the need to develop methods of space reduction, divided into strategies for the sel...

Many different medical problems are characterized by quite large spatial dimensions, which causes the task of recognizing patterns to become troublesome. This is a well-known phenomenon called curse of dimensionality. These problems force the creation of various methods of reducing dimensionality. These methods are based on selection and extraction...

Background: The most important pathomechanism of Clostridioides difficile infections (CDI) is post-antibiotic intestinal dysbiosis. CDI affects both ambulatory and hospital patients. Aim: The objective of the study was to analyze the possibility of utilizing databases from the European Centre for Disease Prevention and Control subject to surveil...

The article is mainly focused on the description of the PCA main component algorithm with fuzzy observation of object features. The author focuses on the application of this method to the reduction of similar traits, aiming at the diagnosis of not only the existence of cancerous rhinoceros, but also the assessment of the direction of its exposure a...

Systems of data recognition and data classification are getting more and more developed. There appear newer algorithms that solve more difficult and complex decision problems. Very good results are obtained using sets of classifiers. The authors in their research focused on certain data characteristics. The characteristics concerns recognition of c...

This article presents a proposal proprietary approach to the task of optimizing transport processes. In modern logistics, there is a very high complexity of the transport processes. The development of technology has made the systems are becoming more complex. This generates high costs and quite often only approximate the best solutions. The model s...

In production enterprises production logistics is the most important link of the company. We particularly pay attention to wastage and look for possibilities of reducing costs. Improvements in the production area, the supply chain or warehouse management generate financial benefits. In order to improve the existing situation appropriate decisions m...

The paper proposes a new approach to the agglomeration of data in cluster analysis. The new approach assumes that sets of similar events are attributed to the cumulative probability of their occurrence at the same time. Such approaches will not be found in probability. Thanks to the mathematical theory of records fairly accurate classification of t...

As the growth of urban areas continues, the area previously used as parking space begins to shrink significantly. For that reason, the only way to increase the parking capacity in cities is to construct more multi-story parking lots. Direct correlation of social, environmental and economic factors sets the way of parking lot planning and design bas...

The paper is about the concept of a telematics system model in crisis management. It presents current telematics solutions in crisis management. The authors show that there are many telematics domain systems ranging from monitoring, traffic management, and ending with the exchange of information. However, there is the lack of a solution that will c...

Thematic scope was to review the possibility of implementation of the urban rapid rail in Wrocław. We analyzed both the demand side and the supply side as the passenger transport market in Wrocław. The analysis focuses on the verification of actual passenger traffic generation sources. These sources generally divided into the settlement network, th...

The article presents problems of optimization and reliability to control the movement of vehicles within the intersections using classical methods and genetic algorithms with fuzzy evaluation of the chromosome. The authors doing research indicated that the genetic operators allow controlling traffic lights about 40% more efficient than by the class...

The paper presents a concept of bioprosthesis control via recognition of user intent on the basis of myopotentials acquired from his body. The contextual recognition of elementary actions is considered and recognition algorithm based on fuzzy inference system with mathematical evidence model is described. Proposed method was experimentally tested o...