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  1. 661

    Determinants of cybersecurity investment in ASEAN organizations: an integrated structural equation modeling approach by Phasikha Rattanapong, Narongsak Sukma, Smitti Darakorn Na Ayuthaya

    Published 2025-06-01
    “…Further investigation through multi-group analysis uncovered significant differences between critical infrastructure and other sectors, with regulatory and risk management factors exerting stronger influence in critical infrastructure organizations. Overall, our model explains 68% of the variance in cybersecurity investment decisions, providing robust explanatory power despite the region’s heterogeneity. …”
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  2. 662

    A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making by Lucas Greif, Svenja Hauck, Andreas Kimmig, Jivka Ovtcharova

    Published 2024-12-01
    “…By modeling the entire product lifecycle, including engineering, production, usage, and disposal phases, the framework facilitates early-stage design decision-making and provides actionable insights for sustainability improvements. …”
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  3. 663

    Design of decision support system in determining the single student tuition fee in higher education by Muhammad Anwar, Elsa Sabrina

    Published 2020-12-01
    “…This system architecture is based on Model-View-Controller using the Yii2 framework with the PHP programming language. …”
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  4. 664

    Real-Time Image Analysis for Intelligent Aircraft De-Icing Decision Support Systems by Sylwester Korga

    Published 2025-07-01
    “…The findings highlight the potential of AI-driven vision systems to support intelligent de-icing decision-making in aviation. Future research should focus on refining localization, minimizing false alarms, and adapting detection models to specific aircraft components to further enhance operational safety and reliability.…”
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  5. 665

    Hybridization of Swarm for Features Selection to Modeling Heart Attack Data by Omar Shakir, Ibrahim Saleh

    Published 2022-12-01
    “…The proposed method to select features has been compared with each of the three swarms, and the Catboost algorithm has been compared to traditional classification algorithms (naive Bayes, decision trees). The study found that the proposed method of hybridization of the results of the (PSO,  BAT, and BCS) algorithms in selecting features is a promising solution in the field of selecting features and increases the accuracy of the system, and that traditional machine learning models are biased in the case of unbalanced data sets and that selecting the important features according to the target class has an impact on the performance of the models, In addition, the definition of hyperparameters reduces the bias of the selected model. …”
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    A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion by Lin Lin, Yuchen Ren, Wanwei Jian, Geng Yang, Bailin Zhang, Lin Zhu, Wenhao Zhao, Haoyu Meng, Xuetao Wang, Qiang He

    Published 2025-07-01
    “…Features extracted from the CT and dose distributions in the GTVp and PGs regions were used to construct machine learning models. However, the performance of these models was inferior to our method. …”
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    Participatory Democracy in Reforming the Way of Political Organization of Contemporary Society - European Models by Валентина Урсу

    Published 2018-12-01
    “…As a result of the investigation, the author concludes that the theoretical conceptions focused on participatory democracy provide support to the society in the conditions of transition to the democratic model, by the development of conditions of social affirmation, participation in the decision making process, development of policies that affect their life, especially directly and not through their representatives elected (as in the case of representative democracy). …”
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    Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

    Published 2024-09-01
    “…It addresses the challenge of congestion management through machine learning (ML) models, aiming to enhance network performance and service quality. …”
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  16. 676

    APPLICATION OF MODELS OF INFORMATION AND ANALYTICAL SUPPORT SYSTEMS FIRE FIGHTING RESCUE UNITS by O. I. Stepanov, S. A. Khudyakova

    Published 2019-08-01
    “…The conditions for the interaction of the person making management decisions in relation to the forces and means of fire and rescue divisions with the software of management support systems and documents of preliminary planning of actions of the divisions for fighting fires and conducting rescue operations are given.Conclusion The software implementation of the models of information and analytical support systems for the management of fire and rescue units makes it possible to formalize the process of researching the fires that have occurred. …”
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  17. 677

    The Quality of Decision-Making for School Vocational Principals: An Information System and Decision Support System Technology by Didi Supriadi, Welius Purbonuswanto

    Published 2025-02-01
    “…The data analysis technique used was the analysis technique used by Structural Equation Modeling (SEM) using SmartPLS software. The results showed that the Decision Information System and the Decision Support System must support a practical decision-making quality. …”
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