Search Results - "Fui Yong, Tien"

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  1. 1

    ETFPOS-IDF: A Novel Term Weighting Scheme for Examination Question Classification Based on Bloom's Taxonomy by Gani, Mohammed Osman, Ayyasamy, Ramesh Kumar, Alhashmi, Saadat M., Sangodiah, Anbuselvan, Fui, Yong Tien

    Published in IEEE access (2022)
    “…Numerous earlier studies focused on the term weighting scheme to increase examination question classification accuracy based on Bloom's Taxonomy (BT). While…”
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    Journal Article
  2. 2

    Identifying Optimal Baseline Variant of Unsupervised Term Weighting in Question Classification Based on Bloom Taxonomy by Sangodiah, Anbuselvan, Jee San, Tham, Tien Fui, Yong, Ean Heng, Lim, Ayyasamy, Ramesh Kumar, A Jalil, Norazira

    Published in Mendel (Brno (Czech Republic)) (30-06-2022)
    “…Examination is one of the common ways to evaluate the students’ cognitive levels in higher education institutions. Exam questions are labeled manually by…”
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    Journal Article
  3. 3

    USTW Vs. STW: A Comparative Analysis for Exam Question Classification based on Bloom’s Taxonomy by Gani, Mohammed Osman, Ayyasamy, Ramesh Kumar, Sangodiah, Anbuselvan, Fui, Yong Tien

    Published in Mendel (Brno (Czech Republic)) (20-12-2022)
    “…Bloom’s Taxonomy (BT) is widely used in educational institutions to produce high-quality exam papers to evaluate students’ knowledge at different cognitive…”
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    Journal Article
  4. 4

    Edge Computing and AI for IoT: Opportunities and Challenges by Lim, Ean Heng, Yuen Chai, Tong, Muniandy, Manoranjitham a-p, Fui Yong, Tien, Ooi, Boon Yaik, Lin, Jim-Min

    “…The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a…”
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    Conference Proceeding
  5. 5

    Bloom’s Taxonomy-based exam question classification: The outcome of CNN and optimal pre-trained word embedding technique by Gani, Mohammed Osman, Ayyasamy, Ramesh Kumar, Sangodiah, Anbuselvan, Fui, Yong Tien

    Published in Education and information technologies (01-12-2023)
    “…The automated classification of examination questions based on Bloom’s Taxonomy (BT) aims to assist the question setters so that high-quality question papers…”
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    Journal Article
  6. 6

    A Review of Nearest Neighbor-Support Vector Machines Hybrid Classification Models by Lee, L H, Wan, CH, Yong, T F, Kok, H M

    “…This study presents our investigation on different hybrid classification models which integrate support vector machines with nearest neighbor algorithm. We…”
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    Journal Article
  7. 7

    A Comparative Analysis On Term Weighting In Exam Question Classification by Sangodiah, Anbuselvan, Fui, Yong Tien, Heng, Lim Ean, Jalil, Norazira A, Ayyasamy, Ramesh Kumar, Meian, Kok Hui

    “…Term weighting in text classification plays a crucial role in determining the accuracy of text classifiers based on supervised machine-learning techniques…”
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    Conference Proceeding