Now showing items 1-3 of 3

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      Accuracy Improvement for Segmentation and Classification of Wound Tissues through Region-Focus Training 

      Collection: Theses (Master's degree) - Information Technology and Digital Innovation / วิทยานิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
      Type: Thesis
      Chanok PATHOMPATAI; ชนก ปฐมเพทาย; pinyo taeprasartsiit; ภิญโญ แท้ประสาทสิทธิ์; Silpakorn University. Science (Silpakorn University, 18/6/2021)
      Segmentation of chronic wound regions from an image aids in following up a wound-healing process without a wound contact. Unlike a wound tracing method, the image-based method imposes no risk of infection. This method is ...
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      DIABETES CLASSIFICATION USING  MACHINE LEARNING TECHNIQUES 

      Collection: Theses (Master's degree) - Applied Statistics / วิทยานิพนธ์ – สถิติประยุกต์
      Type: Thesis
      เมธาพร ผ่องยิ่ง (Silpakorn University, 4/7/2023)
      Nowadays, Machine learning techniques play an increasingly prominent role in medical diagnosis because using these techniques can be analyzed to find patterns or facts that are difficult to explain, which contributes to ...
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      Using Machine Learning for Detection of Illegal Food Advertising Text 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      Wannakan NITIROTSUPHAPHAK; วรรณกัญญ์ นิธิโรจน์ศุภภัค; VERAYUTH LERTNATTEE; วีรยุทธ์ เลิศนที; Silpakorn University. Pharmacy (Silpakorn University, 10/7/2020)
      The objective of this research is to find the appropriate model from machine learning techniques for classifying food advertising texts to legal and illegal texts. A set of 400 food advertising texts was divided into 200 ...


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