Recent Submissions

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    Thai Smile Voice Classification Model using Convolution Neural Network 

    Collection: Theses (Ph.D) - Information Technology and Digital Innovation / ดุษฎีนิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
    Type: Thesis
    นริศร์ พรหมบุตร (Silpakorn University, 28/6/2024)
    "Smile Voice" refers to a distinctive vocal quality that conveys the impression of a speaker smiling. This practice of infusing a smiling quality into one's voice is essential for call center professionals. As the initial ...
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    Deep Learning Structure for Thai Vowel Pronunciation Recognition  

    Collection: Theses (Ph.D) - Information Technology and Digital Innovation / ดุษฎีนิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
    Type: Thesis
    นิยดา รักวงษ์ (Silpakorn University, 4/7/2023)
    Effective and proper pronunciation is essential to pronounce words correctly. Practicing Thai vowel pronunciation is difficult for non-native speakers to understand on their own. Experts are required to provide guidance. ...
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    Applied Big Data Technique for MASSIVE OPEN ONLINE COURSES (MOOCs) recommendation system 

    Collection: Theses (Ph.D) - Information Technology and Digital Innovation / ดุษฎีนิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
    Type: Thesis
    Siriporn SAKBOONYARAT; ศิริพร ศักดิ์บุญญารัตน์; Panjai tantatsanawong; ปานใจ ธารทัศนวงศ์; Silpakorn University. Science (Silpakorn University, 25/11/2022)
    Traditional recommendation techniques have difficulty scaling out, resulting in poor quality of the recommendation system. Can't support large data Especially when there are so many options to choose from. It becomes ...
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    Prototype Development of Complex Network Analytic System using Big Data 

    Collection: Theses (Ph.D) - Information Technology and Digital Innovation / ดุษฎีนิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
    Type: Thesis
    Somkiat DONTONGDANG; สมเกียรติ ดอนทองแดง; Panjai tantatsanawong; ปานใจ ธารทัศนวงศ์; Silpakorn University. Science (Silpakorn University, 10/7/2020)
    Nowadays, DDoS attacks cause much damage in the network system. The organization’s network system has a large number of users in which the heavy usage will be a great impact on the complex network system. Concerning an ...
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    Application of machine learning and mean-shift clustering for efficient liver segmentation from CT images 

    Collection: Theses (Ph.D) - Information Technology and Digital Innovation / ดุษฎีนิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
    Type: Thesis
    Boonnatee SAKBOONYARAT; บุญนที ศักดิ์บุญญารัตน์; pinyo taeprasartsiit; ภิญโญ แท้ประสาทสิทธิ์; Silpakorn University. Science (Silpakorn University, 12/7/2019)
    Nowadays, 3D computed tomography (CT) data is commonly employed to diagnose liver cancer or to examine liver condition. This work proposes a method that can quickly find a location of the biggest CT slice of the liver. We ...

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