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  1. 16421

    Exploration of Cutting Processing Mode of Low-Rigidity Parts for Intelligent Manufacturing by Jianping Zhu, Xinna Liu, Hui Peng, Wei Liu, Zhiyong Li

    Published 2025-05-01
    “…The proposed architecture can provide a reference model for the research and application of intelligent cutting technology for low-rigidity parts.…”
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  2. 16422
  3. 16423
  4. 16424

    Emotion recognition with multiple physiological parameters based on ensemble learning by Yilong Liao, Yuan Gao, Fang Wang, Li Zhang, Zhenrong Xu, Yifan Wu

    Published 2025-06-01
    “…It offers valuable insights for the development of effective applications.…”
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    Article
  5. 16425

    Reliability and Quality of Complex Systems by K.V. Bukhenskiy, T.L. Lvova, V.V. Mironov

    Published 2025-02-01
    “…Real-time data collection, statistical analysis and averaging of data, clustering of data based on fuzzy logic, field testing of methods, analysis of results and conclusions take place. …”
    Article
  6. 16426
  7. 16427
  8. 16428

    TCMRD - KG: innovative design and development of rheumatology knowledge graph in ancient Chinese literature assisted by large language models by Haotian Li, Congmin Xia, Youjuan Hou, Sile Hu, Yanjun Liu, Quan Jiang

    Published 2025-02-01
    “…The unique theoretical system and rich treatment methods of traditional Chinese medicine are preserved in ancient Chinese medical books.MethodsThis study takes the content related to rheumatism in ancient traditional Chinese medicine books as the research object, integrates ontology theory and technology into the knowledge graph, and realizes the reconstruction of traditional Chinese medicine information knowledge. It provides a basic data structure for data mining and knowledge discovery.ResultsThis study is the first rheumatism-specific knowledge graph constructed based on ancient traditional Chinese medicine books. …”
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  9. 16429

    intSDM: An R Package for Building a Reproducible Workflow for the Field of Integrated Species Distribution Models by Philip S. Mostert, Ragnhild Bjørkås, Angeline J. H. M. Bruls, Wouter Koch, Ellen C. Martin, Sam W. Perrin

    Published 2025-03-01
    “…Finally, we provide a case study of the application of our proposed reproducible workflow by creating SDMs for vascular plants in Norway, integrating presence‐only and presence‐absence species occurrence data as well as climate data.…”
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  10. 16430

    Tabular transformer generative adversarial network for heterogeneous distribution in healthcare by Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu

    Published 2025-03-01
    “…Abstract In healthcare, the most common type of data is tabular data, which holds high significance and potential in the field of medical AI. …”
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  11. 16431
  12. 16432

    Enhancing Crowd Safety at Hajj: Real-Time Detection of Abnormal Behavior Using YOLOv9 by Amani A. Alsabei, Tahani M. Alsubait, Hosam H. Alhakami

    Published 2025-01-01
    “…Optimization of the YOLOv9 algorithm for this scenario demonstrated superior performance metrics (mean Average Precision (mAP@0.5), Recall, and Precision) when compared with its predecessors (YOLOv4, YOLOv5, YOLOv7, and YOLOv8), highlighting significant improvements in detection accuracy and real-time applicability. A pivotal aspect of this research was the implementation of critical data pre-processing steps to enhance the object detection model’s performance. …”
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  13. 16433

    Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges by Tomoya Nakamizo, Mayuko Nishio

    Published 2025-07-01
    “…Furthermore, toward practical application to actual bridge structures, on-site measurements and quality evaluation of point cloud data from a steel plate girder bridge were conducted. …”
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  14. 16434

    Evaluation of ‘Dunkelflaute’ event detection methods considering grid operators’ needs by Benjamin Biewald, Bastien Cozian, Laurent Dubus, William Zappa, Laurens P Stoop

    Published 2025-01-01
    “…Strengths and weaknesses of these methods are discussed in terms of their data requirements, ease of application, and skill in detecting dunkelflaute events. …”
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  15. 16435

    Cognitive and kidney function: results from a British birth cohort reaching retirement age. by Richard J Silverwood, Marcus Richards, Mary Pierce, Rebecca Hardy, Naveed Sattar, Charles Ferro, Caroline Savage, Diana Kuh, Dorothea Nitsch, NSHD scientific and data collection teams

    Published 2014-01-01
    “…The cross-sectional association between cognitive function and eGFR was adjusted for background confounding factors (socioeconomic position, educational attainment), prior cognition, and potential explanations for any remaining association (smoking, diabetes, hypertension, inflammation, obesity).<h4>Results</h4>Data on all the analysis variables were available for 1306-1320 study members (depending on cognitive measure). …”
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  16. 16436
  17. 16437

    Preliminary development of a non-contact method for thermal characterization of building walls: Laboratory evaluation by Luca Evangelisti, Edoardo De Cristo, Claudia Guattari, Paola Gori, Tullio De Rubeis, Salvatore Monteleone

    Published 2025-05-01
    “…The goal is a non-invasive application in building diagnostics, particularly in heritage and architecturally sensitive contexts. …”
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  18. 16438

    Design of an Intelligent Active Surveillance and Early Warning System for Infectious Diseases by Min Liu, Wannian Liang, Jian Hu, Liangyu Kang, Wenzhan Jing, Kangning Cai, Xiaopeng Qi, Debing Liu, Quanyi Wang

    Published 2024-12-01
    “…Progress has been made in developing critical technologies such as multi-source data fusion, intelligent early warning, multidimensional risk assessment, and smart disposal evaluation, thus providing a solid technical foundation for the system's construction and application. …”
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  19. 16439
  20. 16440

    Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

    Published 2025-01-01
    “…Finally, we applied oversampling techniques to address the issue of imbalanced data. Based on the results of an in-depth experimental analysis, it was found that the application of window sampling for data expansion produced favorable outcomes, particularly at a window size of 500. …”
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