Search Results - (( developing students exploring algorithm ) OR ( java optimization path algorithm ))

Refine Results
  1. 1

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
    Get full text
    Get full text
    Thesis
  2. 2

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  5. 5

    Computational Thinking (Algorithms) Through Unplugged Programming Activities: Exploring Upper Primary Students’ Learning Experiences by Bih Loong, Lim, Chwen Jen, Chen

    Published 2021
    “…The aim of this study is to explore the experience of primary school students on their learning of algorithms, which is one of the CT skills, through the UPA method. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan by Hamrizan, Siti Fatimah Azzahra

    Published 2021
    “…The study aims to explore the K-Nearest Neighbour (KNN) algorithm in solving the MUET result prediction problem, to develop a prototype of MUET result prediction based on the KNN algorithm and to evaluate the accuracy of the KNN algorithm in MUET result prediction. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Classroom finder system with student availability, space and time constraint by Loh, Yong Bin

    Published 2024
    “…Therefore, an automate Classroom Finder System is developed to automate the room finding and allocation for student assessments. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  8. 8
  9. 9

    Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil by Jamli, Mohd Radhi Fauzan, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…The research endeavors to develop a web-based system specifically designed to create personalized university timetables for Universiti Teknologi MARA (UiTM) students using genetic algorithms, aiming to address the urgent need for a customizable timetable solution catering to the diverse scheduling requirements of both repeater and non-repeater students while optimizing course group selection to minimize conflicts and enhance scheduling flexibility. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Analyzing students’ experience in programming with computational thinking through competitive, physical, and tactile games: The quadrilateral method approach by Habib, M. A. a, Raja-Yusof, R. -J., Salim, S. S.a, Sani, A. A. a, Sofian, H., Abu Bakar, A.

    Published 2021
    “…Therefore, understanding how CT skills can be developed is essential. This research explores how CT skills can be developed for programming through competitive, physical, and tactile games. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11
  12. 12
  13. 13

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
    Get full text
    Get full text
    Thesis
  14. 14

    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
  15. 15
  16. 16

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

    Published 2019
    “…The aim of this research study is to explore the experience of primary school students’ on learning algorithm (one of the CT skills) through UPA. …”
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17
  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
    “…Future research endeavours should explore the applicability of these findings to other nations, such as Malaysia, to gain a broader understanding of the factors influencing student academic success and adapt data-driven interventions accordingly.…”
    Get full text
    Get full text
    Get full text
    Book Chapter
  20. 20

    Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms by Siti Noor Asyikin, Mohd Razali

    Published 2011
    “…In this study, self-adaptive hybrid genetic algorithm (SHGA) approach has been proposed to solve the menu planning problem for Malaysian boarding school students aged 13 to 18 years old. …”
    Get full text
    Get full text
    Get full text
    Thesis