Paweł Weichbroth - Publikacje - MOST Wiedzy

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Rok 2022
Rok 2024
  • A machine learning approach to classifying New York Heart Association (NYHA) heart failure
    Publikacja

    - Scientific Reports - Rok 2024

    According to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional...

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  • A prototype information system for managing and pricing e-waste
    Publikacja

    - Rok 2024

    There is no doubt that innovation drives development in all areas of human activity, including electrical and electronic equipment. However, the production of new equipment has a significant impact on the natural environment and a relatively high consumption of natural resources. To address these issues, the circular economy has been implemented in recent years by promoting and introducing numerous measures to facilitate the recycling...

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  • Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
    Publikacja

    - SENSORS - Rok 2024

    To date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...

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  • Application Of Generative Adversarial Network for Data Augmentation and Multiplication to Automated Cell Segmentation of the Corneal Endothelium
    Publikacja

    - Rok 2024

    Considering the automatic segmentation of the endothelial layer, the available data of the corneal endothelium is still limited to a few datasets, typically containing an average of only about 30 images. To fill this gap, this paper introduces the use of Generative Adversarial Networks (GANs) to augment and multiply data. By using the ``Alizarine'' dataset, we train a model to generate a new synthetic dataset with over 513k images....

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  • Exploring Cause-and-Effect Relationships Between Public Company Press Releases and Their Stock Prices
    Publikacja

    - Rok 2024

    The aim of the work is to design and implement a method of exploring the cause-and-effect relationships between company announcements and the stock prices on NASDAQ stock exchange, followed by a brief discussion. For this purpose, it was necessary to download the stock quotes of selected companies from the NASDAQ market from public web sources. Additionally, media messages related to selected companies had to be downloaded, and...

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  • Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence
    Publikacja

    - Rok 2024

    In traditional business intelligence (BI) settings, the collective decision-making process is often hindered by the absence of knowledge and expertise exchange among various stakeholders, as well as lack of information sharing. The study delves into the concept of Collaborative BI, which aims to overcome these limitations by promoting collaboration, business networking, knowledge sharing, and improved communication among stakeholders....

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  • Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
    Publikacja
    • S. Donghui
    • L. Zhigang
    • J. Zurada
    • A. Manikas
    • J. Guan
    • P. Weichbroth

    - KNOWLEDGE AND INFORMATION SYSTEMS - Rok 2024

    The construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...

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Rok 2018
Rok 2021
Rok 2019
Rok 2025
  • AI-Driven Sustainability in Agriculture and Farming
    Publikacja

    - Rok 2025

    In this chapter, we discuss the role of artificial intelligence (AI) in promoting sustainable agriculture and farming. Three main themes run through the chapter. First, we review the state of the art of smart farming and explore the transformative impact of AI on modern agricultural practices, focusing on its contribution to sustainability. With this in mind, our analysis focuses on topics such as data collection and storage, AI...

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Rok 2009
  • Analiza zachowań użytkowników portalu onet.pl w ujęciu reguł asocjacyjnych
    Publikacja

    - Rok 2009

    Portale internetowe są obecnie powszechnym źródłem informacji, notując bardzo dużą liczbę odwiedzin w ciągu dnia. Aktywność użytkowników zapisywana jest w plikach loga serwera WWW. Analiza takich danych może być z powodzeniem wykorzystana do określenia ścieżek nawigacji użytkowników. Uzyskana w ten sposób wiedza pozwala na stworzenie skutecznej strategii marketingowej dla produktów i usług oferowanych w ramach portalu. W niniejszej...

  • Discovering patterns of Web Page Visits from Associaton Rules Viewpoint
    Publikacja

    The popularity of the Internet results from the almost unlimited resources of information stored in it. At the same time, Internet portals have become a widespread source of information and note very large number of visits. The list of web pages opened by users is stored in web servers' log files. Extraction of knowledge on the navigation paths of users has become carefully analyzed problem. Currently, there are a number of algorithms...

  • Ekonometryczne szacowanie parametrów jako metoda przetwarzania wstępnego w systemach agentowych
    Publikacja

    - Rok 2009

    Autorzy przedstawią w pracy ideę systemu wieloagentowego do oceny technologii informatycznych. Model zaprojektowany pierwotnie dla wsparcia decyzyjnego w obszarze IT zaadoptowano dla środowiska przetwarzania danych chemicznych. Osiągniętym celem był oparty na wiedzy mechanizm generowania prognoz o stężeniu zanieczyszczeń chemicznych. Model został pozytywnie zweryfikowany z punktu widzenia jego struktury i algorytmu działania. W...

  • Odkrywanie reguł asocjacyjnych z transakcyjnych baz danych

    W metodologii drążenia danych ekstrakcja reguł asocjacyjnych z dużych baz danych jest popularną i wysoko rozwiniętą metodą odkrywania nieznanych związków pomiędzy zmiennymi. Zaprezentowany w niniejszej pracy algorytm Apriori jest przeznaczony do znalezienia powiązań pomiędzy produktami zarejestrowanymi przez systemy transakcyjne w sklepach wielkopowierzchniowych. Posiadanie takiej wiedzy może być z powodzeniem wykorzystane do zarządzania...

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  • Przegląd miar oceny oprogramowania
    Publikacja

    Problem oceny oprogramowania istnieje od momentu pojawienia się pierwszego programu komputerowego. Historycznie miary jakości oprogramowania miały zupełnie inne przeznaczenie, gdyż skupiały się na częstotliwości defektów lub błędów oprogramowania. Błędnie bazowało to na założeniu, że jakość oprogramowania to brak błędów. Stąd też używano prostej statystyki typu liczby błędów, wykrytych w określonym przedziale czasu (np. rocznym)...

Rok 2017
  • Cognitum Ontorion: Knowledge Representation and Reasoning System
    Publikacja

    At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference...

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Rok 2015
  • Cognitum Ontorion: Knowledge Representation and Reasoning System
    Publikacja

    “If knowledge can create problems, it is not through ignorance that we can solve them.” (Isaac Asimov). Nevertheless, at any point of human activity, knowledge (besides practice) is a key factor in understanding and solving any given problem. Nowadays, computer systems have the ability to support their users in an efficient and reliable way. In this paper we present and describe the functionality of the Cognitum Ontorion system....

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  • Perspektywy wykorzystania architektury korporacyjnej w tworzeniu rozwiązań smart city
    Publikacja

    - Roczniki Kolegium Analiz Ekonomicznych - Rok 2015

    Idea jaką jest SmartCity jest na tyle nowa, iż trudno znaleźć kompleksowy i w pełni działający system obejmujący wszystkich jego interesariuszy oraz ich wymagania względem niego – rozumianego jako przedsięwzięcie, a nie system informatyczny. Obecnie prowadzonych jest wiele projektów o których można powiedzieć, iż są to projekty „wyspowe” - obejmują tylko jedno, lub kilka zagadnień (domen, aspektów), związanych z zarządzaniem przestrzenią...

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Rok 2016
  • Exploring an Ontological Approach for User Requirements Elicitation in the Design of Online Virtual Agents
    Publikacja

    - Rok 2016

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  • Exploring ontological approach for user requirements elicitation in design of online virtual agents

    Effective user requirements elicitation is a key factor for the success of software development projects. There are many qualitative and quantitative research studies that promulgate particular methods and show the application of user requirements elicitation in particular domains. However, few try to eliminate the burden of ambiguity in gathered data, naturally occurring in different groups of stakeholders. This paper deals with...

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  • Eye-tracking Web Usability Research
    Publikacja

    In this paper we present the results of a study that aims to evaluate the usability of three selected web services, based on eye–tracking and thinking aloud techniques. The gathered comments and observations, recapitulated and supported by particular measures, allow us to discover and describe typical user behavior pertaining to given tasks to solve.

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  • Facing the brainstorming theory. A case of requirements elicitation

    Knowledge is still considered to be power and its externalization makes it possible for others to use that power. In this paper, we examine the theory of brainstorming, and the claim by father Alex Osborn that in a group session an individual can think of twice as many ideas than working alone. In the context of requirements elicitation, we performed an experiment on a “nominal” and a “real” group of participants, following a procedure...

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  • Hard lessons learned: delivering usability in IT projects
    Publikacja

    Effective project management requires the development of a realistic plan which aims to ensure the success of the project and ultimately deliver a high quality product to customers. However, experience shows that the majority of software vendors managing projects suffer from numerous problems to provide usability in IT solutions and complete a project in a given time with success. In this paper we discuss, analyze and synthesize...

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  • Knowledge-Grid Modelling for Academic Purposes
    Publikacja

    - Rok 2016

    Nowadays, we face a huge amount of data and information sharing on the Web by different users worldwide. A multidimensional perspective in describing a university ontology seems to be very important for the modelling of higher education resources. This paper proposes a multi-dimensional knowledge model, designed to distribute and manage knowledge resources efficiently. We propose our model as the foundation of an advanced knowledge...

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Rok 2023
  • Exploring Stock Traders’ Cognitive Biases: Research Design and Simulator Framework
    Publikacja

    - Rok 2023

    Cognitive bias is a phenomenon that has been extensively studied in stock trading and many other fields. This paper presents a framework for a Mobile Stock Trading Simulator (MSTS) that facilitates automatic investment in stocks with minimal human influence, by investigating the behavioral patterns and cognitive errors of stock market investors. The paper aims to determine whether investors’ investment strategies can be improved...

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  • Exploring the Prevalence of Anti-patterns in the Application of Scrum in Software Development Organizations
    Publikacja

    - Rok 2023

    The paper presents a survey-based study that aimed to determine the prevalence of anti-patterns in the Scrum software development methodology. A total of 35 anti-patterns were selected from the literature review, and 42 respondents indicated whether they had encountered each anti-pattern in their organizations. The study found that``Unfinished Tasks'' was the most prevalent anti-pattern, highlighting the importance of proper planning...

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  • Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review
    Publikacja

    - Applied Sciences-Basel - Rok 2023

    Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016...

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  • Security of Cryptocurrencies: A View on the State-of-the-Art Research and Current Developments
    Publikacja

    - SENSORS - Rok 2023

    [Context] The goal of security is to protect digital assets, devices, and services from being disrupted, exploited or stolen by unauthorized users. It is also about having reliable information available at the right time. [Motivation] Since the inception in 2009 of the first cryptocurrency, few studies have been undertaken to analyze and review the state-of-the-art research and current developments with respect to the security...

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Rok 2020
  • Mobile Security: Threats and Best Practices
    Publikacja

    - Mobile Information Systems - Rok 2020

    Communicating mobile security threats and best practices has become a central objective due to the ongoing discovery of new vulnerabilities of mobile devices. To cope with this overarching issue, the goal of this paper is to identify and analyze existing threats and best practices in the domain of mobile security. To this extent, we conducted a literature review based on a set of keywords. The obtained results concern recognizable...

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wyświetlono 3390 razy