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Ontology-Based Business Processes Gap Analysis

International Journal of Advanced computer Science and Applications 2025年第4期16卷 889-904页

作者： Ali, Abdelgaffar Hamed Ahmed Department of Computer Information Systems King Faisal University Al-hasa Saudi Arabia

Business processes are subject to change for quality reasons (i.e., efficiency). However, the gap analysis process is a preliminary and essential step in discovering the gap between the to-be and as-is business processes. It usually resorts to a nonstandard and manual analysis process, making it unpredictable and complex. This paper proposes a standard method based on ontology principles and the business process design methodology (DEMO). The ontology unifies the shared vocabulary among worlds of source and target business process to enable this sort of interoperability. Building an essential model is a core concept behind DEMO that provides an ontological view independent of realization and implementation issues and enables understanding of the enterprises’ behavior. Moreover, this paper provides heuristics for detecting gaps, based on the premise that producing similar institutional facts reflects similar behavior between the to-be and as-is business processes. Since the domains of the source and target are the same, it is also possible to compare the inputs of corresponding actions. The paper proposes a UML activity model for modeling business processes, enriched with DEMO concepts, to provide a foundational and informative ontology for reasoning about gaps. The expected outcome is a contribution to the broader community of business process management, ERP, and strategic planning, enabling more informed decision-making. © (2025), (Science and information Organization). All rights reserved.

关键词： Risk perception

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Electrocardiogram image classification for six classes of heart diseases

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Iran Journal of computer Science 2025年 1-21页

作者： Oke, Oluwafemi Ayotunde Cavus, Nadire Department of Computer Information Systems Near East University Nicosia 99138 Cyprus Computer Information Systems Research and Technology Centre Mersin Türkiye

Heart diseases are among the leading causes of death worldwide, as reported by the World Health Organization. Electrocardiograms (ECGs) are essential for diagnosing various heart conditions. While much of the existing research primarily focuses on accuracy as the key performance metric for ECG classification, this approach overlooks the critical importance of sensitivity, specificity, and F1-score, particularly when dealing with imbalanced datasets. In this study, we propose a hybrid model that integrates machine learning techniques (Support Vector Machines and Random Forest) with deep learning (VGG16) to classify six heart conditions: abnormal heart rhythm, atrial fibrillation, ischaemic heart disease, myocardial infarction, normal heart rhythm, and sinus bradycardia. We utilised a hybrid dataset consisting of 2848 ECG images sourced from both the Kaggle online database and a cardiac centre. The proposed model achieved state-of-the-art performance, attaining 95% accuracy, 99% specificity, 96% precision, 92% sensitivity, and 95% F1-score, thereby surpassing existing benchmarks such as MINA, ExpertRF, and CRNN from the PhysioNet Challenge dataset. These results underscore the model’s potential for facilitating early diagnosis, enabling cardiologists to deliver timely and personalised treatment. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Cardiac centre data set Deep learning Electrocardiogram (ECG) Hybrid dataset Hybrid model

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Alternative curricula information systems: A balanced approach to undergraduate computer curricula

Alternative curricula information systems: A balanced approa...

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1979 ACM Annual Conference, ACM 1979

作者： Dalphin, John F. Gorgone, John T. Mein, William Sondak, Norman Stoddard, Spotswood School of Engineering Technology and Nursing Indiana-Purdue Fort Wayne United States Computer Systems Bentley College United States Computer Science and Information Systems SUNY College Potsdam Germany Department of Information Systems San Diego State University United States Department of Computer Technology Purdue University Fort Wayne United States

ISBN: (纸本)0897910087

"What is computer Science?" Place any two individuals who call themselves computer Scientists in a closed environment and before long the question is posed. Total agreement on an answer is rare, and perhaps the dynamic nature of our discipline is enhanced by the flexibility of its title. At the computer Science and Industry Interface Meeting (June 4, 1978 at Anaheim) one group did state some conclusions: ".computer Science was a profession rather than a science and that it was a profession that required a broad background in many subjects . computer Science was, or ought to be, an experimental discipline. computer Science is an application-oriented activity centered around the computer itself. systems and programs, design methodology and practice, applications and operation of computers, and theory are all part of computer Science." © 1979 ACM.

关键词： Curricula

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Multimodal and Temporal Graph Fusion Framework for Advanced Phishing Website Detection

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IEEE Access 2025年 13卷 74128-74146页

作者： Kavya, S. Sumathi, D. Vellore Institute of Technology School of Computer Science Engineering and Information Systems Vellore632014 India

Phishing attacks are among the persistent threats that are dynamically evolving and demand advanced detection mechanisms to counter more sophisticated techniques. Traditional detection approaches are usually based on single-modal features or static analysis, failing to capture the complex, multi-faceted nature of phishing websites and their dynamic behaviors. Thus, we present a robust Multi-Modal and Temporal Graph Fusion Framework integrating advanced learning paradigms that enhance accuracy and adaptability in phishing detection. Our work proposes four brand-new methods: Multi-Modal Hypergraph Fusion Network (MM-HFN), Temporal Graph Neural Network with Attention (TGNN-Att), Federated Graph Contrastive Learning Network (FGCL-Net), and Multi-Modal Temporal Hypergraph Fusion Network (MMTHF-Net). MM-HFN leverages hypergraphs to capture complex, high-order relationships at textual levels (BERT) and graph-based features versus visual ones (CNNs) for an accuracy in the 95-97% range. TGNN-Att addresses temporal variations in phishing behavior by using attention-enhanced temporal graph networks and LSTMs, providing dynamic detection with 94-96% accuracy. FGCL-Net ensures privacy-preserving learning across decentralized datasets through federated contrastive learning, achieving 93-95% accuracy while safeguarding data privacy. Finally, MMTHF-Net fuses multi-modal and temporal features into a dynamic hypergraph framework, achieving state-of-the-art accuracy of 96-98% with an F1-score of 0.97. These approaches together allow for exact, real-time phishing detection by capturing static and temporal behaviors, high-order relationships, and cross-modal features. The framework proposed demonstrates significant improvements compared to the state of the art, eliminating the shortcomings of single-modality and static analysis while offering scalability, privacy, and adaptability levels. © 2013 IEEE.

关键词： Federated learning

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Are computer science and information systems students more likely to earn a better grade in basic computer literacy courses than their peers: A case study

Are computer science and information systems students more l...

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2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018

作者： Barker, Nathan Harris, Laurie Computer Science and Information Systems Department Southern Utah University Cedar CityUT United States

ISBN: (纸本)9781728113609

computer Science and information systems students spend the majority of their University level coursework studying computer hardware and software. These courses are typically judged more difficult, either technically or theoretically, than traditional digital literacy courses that teach basic computer fundamentals such as the Microsoft Office Suite. This paper presents final grade data from a medium sized university that helps explore this issue. The data is further broken down by college and gender. © 2018 IEEE.

关键词： information systems

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Does learning style play a role in computer information systems course performance? 31

Does learning style play a role in computer information syst...

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31st information systems Educators Conference, ISECON 2014 and 7th Conference on information systems Applied Research, CONISAR 2014

作者： Kruck, S.E. Scott Hunsinger, D. Peslak, Alan Ceccucci, Wendy Sendall, Patricia Computer Information Systems James Madison University HarrisonburgVA22807 United States Computer Information Systems Appalachian State University BooneNC28607 United States Information Sciences and Technology Penn State University DunmorePA18512 United States Quinnipiac University Computer Information Systems HamdenCT06518 United States Girard School of Business Merrimack College N. AndoverMA01845 United States

This study represents an analysis of student performance in computer information systems (CIS) courses using the Felder-Silverman Index of Learning Styles (ILS) to examine academic success in CIS courses. For this study, academic success is measured by grades achieved. The ILS measurement scale was self-administered by students enrolled in CIS courses from fall 2008 through spring 2013. Our study found a significant difference between students’ grades and learning styles. We also found a significant relationship between students’ grades and the Active vs-Reflective index score. ©2014 EDSIG (Education Special Interest Group of the AITP), *** and FITE (Foundation for information Technology Education), ***/.

关键词： Students

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Revolutionizing online shopping with FITMI: a realistic virtual try-on solution

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Neural Computing and Applications 2025年第8期37卷 6125-6144页

作者： Samy, Tassneam M. Asham, Beshoy I. Slim, Salwa O. Abohany, Amr A. Department of Computer Science Faculty of Computers and Artificial Intelligence Helwan University Cairo Egypt Department of Information Systems Faculty of Computers and Information Damanhour University Damanhour Egypt Department of Information Systems Faculty of Computers and Information Kafrelsheikh University Kafrelsheikh Egypt

In today’s digital age, consumers increasingly rely on online shopping for convenience and accessibility. However, a significant drawback of online shopping is the inability to physically try on clothing before purchasing. This limitation often leads to uncertainty regarding fit and style, resulting in customer post-purchase dissatisfaction and higher return rates. Research indicates that online items are three times more likely to be returned than in-store ones, especially during the pandemic. To address this challenge, we propose a virtual try-on method called FITMI, an enhanced Latent Diffusion Textual Inversion model for virtual try-on purposes. The proposed architecture aims to bridge the gap between traditional in-store try-ons and online shopping by offering users a realistic and interactive virtual try-on experience. Although virtual try-on solutions already exist, recent advancements in artificial intelligence have significantly enhanced their capabilities, enabling more sophisticated and realistic virtual try-on experiences than ever before. Building on these advancements, FITMI surpasses ordinary virtual try-ons relying on generative adversarial networks, often producing unrealistic outputs. Instead, FITMI utilizes latent diffusion models to generate high-quality images with detailed textures. As a web application, FITMI facilitates virtual try-ons by seamlessly integrating images of users with garments from catalogs, providing a true-to-life representation of how the items would look. This approach differentiates us from competitors. FITMI is validated using two widely recognized benchmarks: the Dress-Code and Viton-HD datasets. Additionally, FITMI acts as a trusted style advisor, enhancing the shopping experience by recommending complementary items to elevate the chosen garment and suggesting similar options based on user preferences. © The Author(s) 2025.

关键词： Generative adversarial networks

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Entrepreneurial health informatics for computer science and information systems students 30

Entrepreneurial health informatics for computer science and ...

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30th information systems Educators Conference, ISECON 2013 and 5th Conference on information systems Applied Research, CONISAR 2013

作者： Lawler, James Joseph, Anthony Narula, Stuti Seidenberg School of Computer Science and Information Systems Pace University New YorkNY10038 United States

Corporate entrepreneurship is a critical area of curricula for computer science and information systems students. Few institutions of computer science and information systems have entrepreneurship in the curricula however. This paper presents entrepreneurial health informatics as a course in a concentration of Technology Entrepreneurship at a leading institution of technology. In the concentration, and in the course, students are learning to be business entrepreneurs in interdisciplinary fields, such as health. This paper can be beneficial to educators in schools of computer science and information systems desiring to enrich offerings to be contemporary with the demands of industry. ©2013 EDSIG (Education Special Interest Group of the AITP).

关键词： information systems

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Teaching Tip Rethinking How We Teach Git: Pedagogical Recommendations and Practical Strategies for the information systems Curriculum

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Journal of information systems Education 2025年第1期36卷 1-12页

作者： Wagner, Gerit Thurner, Laureen Faculty Information Systems and Applied Computer Science Otto-Friedrich-Universität Bamberg Bamberg Germany

Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be challenging, as students in IS and other disciplines report themselves overwhelmed by the plethora of Git’s detailed commands and options, including those involved in local setup and secure shell (SSH) connections. From our view, such technical considerations distract students, and even prevent them from developing a deeper understanding of the Git model and its underlying concepts. Ideally, teaching efforts should convey a solid understanding of the Git model and thereby enable students to ask the right questions and look up the relevant commands. With this teaching tip, we therefore challenge the common approach to organizing Git teaching materials. In particular, we draw on established pedagogical theory to propose a novel approach that employs a new, macro-level ordering of contents beginning with the concept of branches and then proceeding to committing and collaboration. We present several practical strategies that make this approach feasible. In addition, we recommend that teachers clearly separate conceptual from applied learning and present the more challenging transfer questions at the end of the course. Our hope is to stimulate reflection on the most effective ways to teach Git to future professionals. © (2025), (ISCAP- information systems and Computing Academic Professionals). All rights reserved.

关键词： information use

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Influence of Health Interests and Technological Trends on the Acceptance of Wearable Technologies and Their Applications in Saudi Arabia

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2025年第4期19卷 148-165页

作者： Aljohani, Nasser Alanazi, Mohammad N. College of Computer and Information Systems Islamic University of Madinah Madinah Saudi Arabia Riyadh Saudi Arabia

Wearable technologies have developed relatively quickly in the modern years. This development has impacted the management of personal health and wellness to a considerable extent. The purpose of this study is to understand to what extent the interest of individuals in health and fitness, coupled with their general orientation towards technology, affects the acceptance of wearable technologies and related applications in the Saudi Arabian environment. Utilizing the UTAUT model, the research examines six hypotheses, revealing that health infor-mation-seeking behavior (β = 0.316, p © 2025 by the authors of this article. Published under CC-BY.

关键词： Wearable technology

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