Paweł Weichbroth - Publikacje - MOST Wiedzy

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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 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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  • Organizational ethics and position relationship moderators among knowledge workers: a regional study of Poland
    Publikacja

    - Information Technology for Development - Rok 2024

    This research explores organizational ethics among knowledge workers using ICT4Ds in regional enterprises in Poland before, during, and after the COVID-19 pandemic. The study addresses the importance of understanding how ethics in organizations, particularly ethical optimism, corporate social responsibility, and top management action, have evolved across these periods. This topic is crucial as organizational ethics influence employee...

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  • The Greencoin project. A guideline for the implementation strategy
    Publikacja

    - Rok 2024

    Report of the Greencoin project identification and implementation strategy, preliminary study, project results, implementation guidelines directed to the European city representatives, educators, urban activists. 

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  • Usability of Mobile Applications: A Consolidated Model
    Publikacja

    - IEEE Access - Rok 2024

    Mobile devices have become an integral part of the digital ecosystem, connecting people, businesses, and information around the world in ways never before possible. In particular, smartphones, tablets and other handheld devices equipped with mobile applications have changed every aspect of our lives. Today, a user can choose from nearly five million applications available for both Android and iOS operating systems. However, only...

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  • Usability Testing of Mobile Applications: A Methodological Framework
    Publikacja

    Less than five percent of all mobile applications have become successful throughout 2023. The success of a new mobile application depends on a variety of factors ranging from business understanding, customer value, and perceived quality of use. In this sense, the topic of usability testing of mobile applications is relevant from the point of view of user satisfaction and acceptance. However, the current knowledge seems to be fragmented,...

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Rok 2023
Rok 2022
Rok 2021
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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  • Usability of mobile applications: a systematic literature study
    Publikacja

    - IEEE Access - Rok 2020

    Since the release of the first mobile devices, the usability of on-board applications has been the concern not only of software vendors but hardware manufacturers as well. The academia community later willingly joined the discussion on usability in terms of theory and empirical measurement, having experience and knowledge in desktop settings. At first sight, such a background should guarantee a solid foundation to conduct research...

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Rok 2019
Rok 2018
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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wyświetlono 4255 razy