Titlebook: Good Practices and New Perspectives in Information Systems and Technologies; WorldCIST 2024, Volu Álvaro Rocha,Hojjat Adeli,Aneta Poniszews

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https://doi.org/10.1007/978-1-349-26479-7ng enables the automation of the business processes discovery, by systematically exploring the state space based on a certain environment interaction to achieve a certain goal, that reduces time and effort required for manual analysis and decision-making. This paper proposes an automated system capa

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Vernon John BSc, MSc, CEng, MIM, MIMMles are associated with maintenance activities throughout a program system’s entire lifecycle, researchers and engineers are actively exploring utilizing agile methods to ensure the continued robustness of the software. The agile software development lifecycle lacks a dedicated maintenance plan, pro

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https://doi.org/10.1007/978-1-349-18424-8omething that hackers also want to achieve, making SSH servers a target for attack. A quantitative study was made of the distribution of usernames and IP addresses in failed login usernames on a publicly available SSH server. The failed logins and IP addresses were ranked according to the number of

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https://doi.org/10.1007/978-1-349-18341-8 researchers use and share publications and datasets, the support for Research Software is still insufficient. In this vision paper, we outline expectations and requirements for managing Research Software and propose the Open Software Catalogue, a tool that relies on selected best practices in softw

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Macmillan Dictionary of Physics their structural and semantic differences, providing insights into their unique features and capabilities. A significant focus is placed on developing a robust method to convert API blueprint documents into OpenAPI format. This conversion blueprint is designed to maintain the semantic integrity of

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https://doi.org/10.1007/978-1-349-07942-1 of 69% was recorded among students at three institutions of the Consortium of Universities. Early detection and treatment of anxiety in academic settings are critical to ensure student well-being. This study proposes a classification model for which Machine Learning algorithms such as Random Forest

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Steve Baron,Barry Davies,David Swindleyction. Contemporary rolling processes adeptly maintain local flatness, but challenges arise particularly with thinner and high-strength steel grades. These complexities manifest as pronounced flatness deviations during subsequent processing and post-production phases. Merging traditional first-princ

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https://doi.org/10.1007/978-3-031-60227-6Intelligent Systems; Information Systems; Information Technology; WorldCIST 24; WorldCIST

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