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  1. 61

    A Method for Modelling Business-Critical Architecture Decisions in Engineer-to-Order Companies by Mikkel Sohrt, Willads Blinkenberg, Niels Henrik Mortensen, Anders Haug, Lars Hvam

    Published 2025-02-01
    “…This article presents a method (the cross-functional architecture matrix, CAM) for identifying the most business-critical architecture decisions for companies applying product architectures to support the design and production of customised and highly engineered products. …”
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  2. 62

    Leveraging Advanced Mathematical Methods in Artificial Intelligence to Explore Heterogeneity and Asymmetry in Cross-Border Travel Satisfaction by Yan Xu, Huajie Yang, Zibin Ye, Xiaobo Ma, Lei Tong, Xinyi Yu

    Published 2025-06-01
    “…Finally, this paper proposes improvement priorities for different types of passengers, reflecting the practical application of advanced mathematical methods in artificial intelligence to drive intelligent decision-making.…”
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  3. 63

    Differentiated GNSS Baseband Jamming Suppression Method Based on Classification Decision Information by Zhongliang Deng, Zhichao Zhang, Xiangchuan Gao, Peijia Liu

    Published 2025-06-01
    “…Under high JSR conditions, the signal recovery rate improves by over 10% and 8% compared to that of the WPT and KLT methods, respectively. In terms of SINR performance, the proposed approach outperforms the AFF, TDPB, and FDPB methods by 1.5 dB, 1.1 dB, and 5.3 dB, respectively, thereby enhancing the reliability of wireless positioning in complex environments.…”
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    The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

    Published 2025-04-01
    “…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. …”
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    Decision rule for stratification of patients with chronic heart failure of functional class II and III by E. V. Samoilova, M. A. Fatova, D. R. Mindzaev, I. V. Zhitareva, C. N. Nasonova, I. V. Zhirov, C. N. Tereschenko, A. A. Korotaeva

    Published 2020-04-01
    “…The aim of the study was focused on the development of a decision rule for classifying patients as functional class (FC) II or III of chronic heart failure (CHF) by discriminant analysis with inflammatory markers.Materials and methods. …”
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