Search Results - (( developing students means algorithm ) OR ( java adaptation optimization algorithm ))

Refine Results
  1. 1
  2. 2

    The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

    Published 2025
    “…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3
  4. 4

    Computer control of batch process plant (software development) by Safian, Salehudin

    Published 1995
    “…This thesis reports on the development of the control tools by means of programming using the Turbo Pascal 6.0 and MATLAB Student Edition software. …”
    Get full text
    Get full text
    Student Project
  5. 5

    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

    Published 2016
    “…We then develop a new algorithm to address the summarizing strategies identification problem. …”
    Get full text
    Get full text
    Thesis
  6. 6

    K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning by Othman, E.S., Faye, I., Babiker, A., Hussaan, A.M.

    Published 2021
    “…This paper proposes a method to detect situational interest in classroom learning using k-means algorithms. The developed algorithm in this paper had been tested on features from ten students who experienced mathematics learning in a classroom. …”
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    Published 2023
    “…All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.…”
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  9. 9

    The impact of virtual reality on programming algorithm courses on student learning outcomes by Dewi, Ika Parma, Ambiyar, Effendi, Hansi, Giatman, Muhammad, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

    Published 2024
    “…The low learning outcomes of students and the limitations of learning media provide opportunities to develop innovations that can increase student engagement. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10
  11. 11
  12. 12

    Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences by Lim, Bih Loong

    Published 2019
    “…The result shows that there is no significant effect of the learning material in increasing the participants’ algorithm skill. However, the mean for post-test score is slightly higher than the mean for pre-test score. …”
    Get full text
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14

    Evaluation of postgraduate academic performance using artificial intelligence models by Baashar, Y., Hamed, Y., Alkawsi, G., Fernando Capretz, L., Alhussian, H., Alwadain, A., Al-amri, R.

    Published 2022
    “…With these demands come the need for those institutions to develop strategies that can enhance students' learning experiences at various educational levels. …”
    Get full text
    Get full text
    Article
  15. 15

    Evaluation of postgraduate academic performance using artificial intelligence models by Baashar, Y., Hamed, Y., Alkawsi, G., Fernando Capretz, L., Alhussian, H., Alwadain, A., Al-amri, R.

    Published 2022
    “…With these demands come the need for those institutions to develop strategies that can enhance students' learning experiences at various educational levels. …”
    Get full text
    Get full text
    Article
  16. 16

    Evaluation of postgraduate academic performance using artificial intelligence models by Baashar, Y., Hamed, Y., Alkawsi, G., Fernando Capretz, L., Alhussian, H., Alwadain, A., Al-amri, R.

    Published 2022
    “…With these demands come the need for those institutions to develop strategies that can enhance students' learning experiences at various educational levels. …”
    Get full text
    Get full text
    Article
  17. 17

    Course grade calculation using fuzzy logic (CGCFL) by Nurhidayah, Muhamad Zahari

    Published 2011
    “…Grade Calculation using Fuzzy Logic System is a system that developed to calculate the final grade of Data Structure and Algorithms student's more accurate and valuable result. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  18. 18
  19. 19

    Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case by Hassan, Raini, Fadzleey, Nur Zulfah Insyirah, Ab Hamid, Annesa Maisarah, Abd Aziz, Rabiatul Adawiyah, Jamalullain, Afiefah, Syaiful 'Adli, Fatin Syafiqah

    Published 2024
    “…The results, as shown in Table III, indicate that the Random Forest Regression model outperforms the Decision Tree model, achieving lower Mean Squared Error (9.6212), Root Mean Squared Error (3.0842), and Mean Absolute Error (2.4060). …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  20. 20

    An application of predicting student performance using kernel k-means and smooth support vector machine by Sajadin, Sembiring

    Published 2012
    “…In this study, psychometric factors used as predictor variables, thereare Interest, Study Behavior, Engaged Time, Believe, and Family Support.The rulemodel developed using Kernel K-means Clustering and Smooth Support Vector MachineClassification.Both of these techniquesbased on kernel methodsand relativelynew algorithms of data mining techniques, recently received increasingly popularity in machine learning community. …”
    Get full text
    Get full text
    Thesis