Search Results - "Machine learning"

Search alternatives:

Refine Results
  1. 1
  2. 2

    Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

    Published 2022
    “…The comparison of malware detection model utilising supervised machine learning techniques is the main goal of this project. …”
    Get full text
    Get full text
    Student Project
  3. 3

    Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

    Published 2021
    “…This paper analyzed several visual analytics ap- proach instantiated in machine learning algorithm for medical record analytics. …”
    Get full text
    Get full text
    Proceeding Paper
  4. 4

    Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan by Ihsan, Muhammad Ikmal

    Published 2022
    “…It also recorded that SVM machine learning got the lowest FPR and highest TPR among other machine learning used in the project. …”
    Get full text
    Get full text
    Student Project
  5. 5

    Machine learning for data classification in construction project planning by Lau, Zheng Liang

    Published 2023
    “…The Machine learning is a tool created from statistical principles and expanded into the world. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  6. 6

    Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

    Published 2022
    “…This paper analyzed several visual analytics approaches instantiated in machine learning algorithm for medical record analytics. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  7. 7
  8. 8

    In-depth review on machine learning models for long-term flood forecasting by Khairudin, Nazli Mohd, Mustapha, Norwati, Aris, Teh Noranis Mohd, Zolkepli, Maslina

    Published 2022
    “…Nevertheless, the machine learning models has shown uncertainty and instability in their forecast. …”
    Get full text
    Get full text
    Article
  9. 9
  10. 10

    Mental health prediction using machine learning: taxonomy,applications, and challenges by Jetli Chung, Jason Teo

    Published 2022
    “…The increase of mental health problems and the need for effective medical health care have led to an investigation of machine learning that can be applied in mental health problems. )is paper presents a recent systematic review of machine learning approaches in predicting mental health problems. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    A new domain specific scripting language for automated machine learning pipeline by Masrom, S., Rahman, A.S.A., Omar, N., Baharun, N.

    Published 2019
    “…In light of this situation, automated machine learning pipeline is highly beneficial. Research has proved that Genetic Programming is highly useful to find the best pipeline of an automated machine learning model. …”
    Get full text
    Get full text
    Article
  12. 12

    Testing the use of machine learning for heritage property valuation / Junainah Mohamad, Nur Shahirah Ja’afar and Suriatini Ismail by Mohamad, Junainah, Ja’afar, Nur Shahirah, Ismail, Suriatini

    Published 2021
    “…However, the application of machine learning in heritage property valuation has limited adoption. …”
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    Lightweight block cipher security evaluation based on machine learning classifiers and active s-boxes by Lee T.R., Teh J.S., Jamil N., Yan J.L.S., Chen J.

    Published 2023
    “…Decision trees; Lyapunov methods; Machine learning; Nearest neighbor search; Security of data; Active S-box; Block ciphers; Cryptanalyse; Differential cryptanalysis; Feistel ciphers; Generalized feistel; Light-weight cryptography; Machine learning models; S-boxes; Security evaluation; Cryptography…”
    Article
  14. 14

    Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.] by Amin, Ahmad, Rahmawaty, Rahmawaty, Lautania, Maya Febrianty, Abdul Rahman, Rahayu

    Published 2023
    “…The PPP data was analyzed in this study using two machine learning approaches, Genetic Programming and conventional machine learning, with testing results showing that all machine learning algorithms from both approaches achieved high accuracy rates of over 80%, with the Genetic Programming machine learning outperformed the conventional approach. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Rapid software framework for the implementation of machine learning classification models by Rahman, A.S.A., Masrom, S., Rahman, R.A., Ibrahim, R.

    Published 2021
    “…This paper provides an insight of a rapid software framework for implementing machine learning. This paper also demonstrates the empirical research results of machine learning classification models from the rapid software framework. …”
    Get full text
    Get full text
    Article
  16. 16
  17. 17
  18. 18

    Model hijacking exploitation and mitigation by Chew, Zi Ying

    Published 2024
    “…Machine learning has found its way into numerous facets of automotive engineering and operations. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  19. 19

    Model hijacking exploitation and mitigation by Chew, Zi Ying

    Published 2024
    “…Machine learning has found its way into numerous facets of automotive engineering and operations. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  20. 20

    Implementation And Performance Analysis Of Machine Learning Models For Detecting Phishing Attacks On Websites by Liong, Kah Pong

    Published 2023
    “…This project aims to detect phishing websites by implementing a tool that is built from a machine-learning model. This machine learning model is trained using known datasets on phishing websites and legitimate websites. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD