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  1. 1941
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  3. 1943
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  8. 1948

    Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming by Atchara Choompol, Sarayut Gonwirat, Narong Wichapa, Anucha Sriburum, Sarayut Thitapars, Thanakorn Yarnguy, Noppakun Thongmual, Waraporn Warorot, Kiatipong Charoenjit, Ronnachai Sangmuenmao

    Published 2025-03-01
    “…To enhance classification performance, You Only Look Once version 8 (YOLOv8) was utilized for object detection and image preprocessing. The models were evaluated based on classification accuracy, inference speed, and computational efficiency, with Technique for Order Preference by Similarity to Ideal Solution with Linear Programming (TOPSIS-LP) applied as a multi-criteria decision-making approach. …”
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    Article
  9. 1949

    EVALUATION OF THE DIGITAL FUNCTIONS EFFICIENCY FOR THE MARGIN LINE DETECTION OF A PROSTHETIC DENTAL CROWN PREPARATION by Horia Bogdan Slăvoiu, Radu Mihai Slăvoiu, Adina Andreea Mirea, Petre Costin Mărașescu, Daniel Adrian Tîrtea, Miruna Andreea Anghel, Ioana Mitrut, Horia Octavian Manolea

    Published 2025-06-01
    “…For each preparation, the cervical border was determined digitally using 5 methods provided by the ExoCAD software: Detect Supragingival, Detect Subgingival, Draw Non-magnetic, Draw Magnetic Supragingival, Draw Magnetic Subgingival. …”
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    Article
  10. 1950
  11. 1951

    Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data by ramon saleno yure rubim costa silva, Erwin U. L. Palechor, Luciano M. Bezerra, Marcus V. G. de Morais, Welington V. da Silva

    Published 2019-03-01
    “…In recent years, one can observe a constant worry of the scientific community on the search for demage detection techniques in structures. Such worry contributed to the progressive development of Structural Health Monitoring. …”
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    Article
  12. 1952
  13. 1953

    Improving early detection of Alzheimer’s disease through MRI slice selection and deep learning techniques by Begüm Şener, Koray Açıcı, Emre Sümer

    Published 2025-08-01
    “…Focusing on accurate slice selection enables early detection of Alzheimer’s at the EMCI stage, allowing for timely interventions and preventive measures before the disease progresses to more advanced stages. …”
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    Article
  14. 1954

    Continuous Learning for Automated Early-Stage Alzheimer’s Detection Using MRI and Spike Neural Signals by Salar Jamal Abdulhameed Al-Atroshi, Rana Layth Abdulazeez, Shadan Mohammed Jihad, Shahab Wahhab Kareem

    Published 2025-01-01
    “…Alzheimer’s disease (AD), a progressive neurodegenerative disorder whose symptoms become apparent late in the disease process but are only in the early stages of development, creates challenges that demand that this disorder be diagnosed early to reduce its progression. …”
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    Article
  15. 1955
  16. 1956
  17. 1957

    Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data by Ramon S. Y. R. C. Silva, Erwin U. L. Palechor, Luciano M. Bezerra, Marcus V. G. de Morais, Welington V. da Silva

    Published 2019-04-01
    “…In recent years there has been constant concern in the scientific community to identify techniques for damage detection in structures. Such apprehension has contributed to the progressive development of Structural Health Monitoring. …”
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    Article
  18. 1958
  19. 1959

    Real-world analysis of community colorectal neoplasia screening based on stool DNA methylation detection by Ming-sheng Fu, Shu-xian Pan, Xun-quan Cai, Ya-wen Cao, Li-yuan Jin, Qin-cong Pan

    Published 2025-06-01
    “…Adding sDNAMD to the high-risk questionnaire and FOBT screening led to a notable increase in both colonoscopy compliance and CN detection rates. The conclusion is that adding stool DNA methylation detection to the community FOBT screening program can significantly improve colonoscopy compliance and colorectal neoplasia detection rates among community residents.…”
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  20. 1960