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  1. 541

    Applications of machine learning in glaucoma diagnosis based on tabular data: a systematic review by Mohammad Hasan Shahriari, Farkhondeh Asadi, Hamid Moghaddasi, Arash Roshanpour, Farideh Sharifipour, Zahra Khorrami

    Published 2025-08-01
    “…The results highlight the potential of ML to improve glaucoma detection, though further research is needed to enhance data quality and model validation for broader clinical applicability.…”
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    Article
  2. 542
  3. 543

    Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

    Published 2025-01-01
    “…With the application of electronic health records (EHRs) in the medical field, the use of machine learning to predict disease has become one of the important research hotspots in the healthcare industry. …”
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    Article
  4. 544

    On Statistical Properties of a New Bivariate Modified Lindley Distribution with an Application to Financial Data by Ahmed Elhassanein

    Published 2022-01-01
    “…The univariate one-parameter Lindley distribution is still one of the most applicable distributions in data analysis especially in lifetime data. …”
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    Article
  5. 545
  6. 546

    Research and application of key technologies for data delivery in railway engineering design based on metadata by Xiangru Lyu, Xunxiao Yin, Kun Wang, Yongwen Wei

    Published 2024-03-01
    “…The railway engineering collaborative design platform mainly includes functional modules such as metadata management, design collaboration, design delivery management, model component library, model rendering services, and Building Information Modeling (BIM) application services. Based on this, research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering, infrastructure data management and delivery technology, and design multi-source data fusion and application technology. …”
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    Article
  7. 547

    Development and application of knowledge graph-based spatiotemporal data model for urban physical examination by Sijia Wang, Jun Chen, Dongyang Hou, Xiaoguang Zhou, Bingliang Cui, Xiaoyang Zhang, Yu Wang, Dongyuan Li, Junyu Cui, Silong Luo, Qiankun Kang

    Published 2025-08-01
    “…In view of the above, this paper proposes a knowledge graph-based spatiotemporal data model for the urban physical examination. The model focuses on application scenarios, and builds a conceptual model with a three-layer architecture of ‘semantics-data-scenario’ and an ontology logic model structured as a hypergraph. …”
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    Article
  8. 548
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    Open Case Studies: Statistics and Data Science Education through Real-World Applications by Carrie Wright, Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager, John Muschelli, Stephanie C. Hicks

    Published 2024-10-01
    “…With unprecedented and growing interest in data science education, there are limited educator materials that provide meaningful opportunities for learners to practice statistical thinking, as defined by Wild and Pfannkuch, with messy data addressing real-world challenges. …”
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    Article
  10. 550
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    Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

    Published 2025-01-01
    “…Moreover, the recent progress in the application of remote sensing data and machine learning are discussed as well. …”
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    Article
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    A Revised Bimodal Generalized Extreme Value Distribution: Theory and Climate Data Application by Cira E. G. Otiniano, Mathews N. S. Lisboa, Terezinha K. A. Ribeiro

    Published 2025-07-01
    “…Furthermore, we establish the identifiability property of this new class of BGEV distributions and compute expressions for the moments, the moment-generating function, and entropy. The applicability of the new model is illustrated using climate data.…”
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    Multimodal Face Data Sets—A Survey of Technologies, Applications, and Contents by Kamela Al-Mannai, Khaled Al-Thelaya, Jens Schneider, Spiridon Bakiras

    Published 2024-01-01
    “…Our findings show that multimodal data can boost performance and robustness in many applications. …”
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    Article