Search Results - (( java implementation force algorithm ) OR ( early identification based algorithm ))

Refine Results
  1. 1

    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali *, Siti Maryam, Ahmad Kendong, Hajar, Fauzan Ahmad

    Published 2024
    “…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2
  3. 3

    Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation by Illias, Hazlee Azil, Wee, Zhao Liang

    Published 2018
    “…It was found that the proposed hybrid SVM-Modified EPSO (MEPSO)-Time Varying Acceleration Coefficient (TVAC) technique results in the highest correct identification percentage of faults in a power transformer compared to other PSO algorithms. …”
    Get full text
    Get full text
    Article
  4. 4

    Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga by Mwenge , Mulenga

    Published 2022
    “…First, to investigate the methods used to address limitations associated with microbiome-based datasets in colorectal cancer identification using deep neural network algorithms. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy by Rahman, Sam Matiur, Ali, Md. Asraf, Altwijri, Omar, Alqahtani, Mahdi, Ahmed, Nasim, Ahamed, Nizam Uddin

    Published 2020
    “…In addition, the ranked order of the variables based on their importance differed across the ML algorithms. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6
  7. 7

    Predictive Modelling of Stroke Occurrence among Patients using Machine Learning by Sures, Narayasamy, Thilagamalar, Maniam

    Published 2023
    “…Early identification of high-risk patients enables timely intervention and implementation of preventive measures, potentially reducing the burden of stroke-related complications. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  8. 8
  9. 9
  10. 10

    Comparative study of informative acoustic features for VTOL UAV faulty prediction using machine learning by Mohd Sani, Fareisya Zulaikha, Makhtar, Siti Noormiza, Mohd Nor, Elya, Kamarudin, Nur Diyana, Md Ali, Syaril Azrad, Md Ali, Kurnianingsih

    Published 2025
    “…The sound emitted by Vertical Take Off and Landing (VTOL) UAVs offers valuable insights into their flight performance, serving as a crucial element for the efficient monitoring of flying conditions and early detection of potential faults. This paper will focus on developing fault detection and identification using audio data of different propeller conditions. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11
  12. 12

    Outlier Detection Technique in Data Mining: A Research Perspective by Mansur, M. O., Md. Sap, Mohd. Noor

    Published 2005
    “…In this paper we will explain the first part of our research, which is focused on outlier identification and provide a description of why an identified outlier exceptional, based on Distance-Based outlier detection and Density-Based outlier detection.…”
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13
  14. 14

    Autonomous self-exam monitoring for early diabetes detection by Rohana, Abdul Karim, Nur Alia Fatiha, Azhar, Nurul Wahidah, Arshad, Nor Farizan, Zakaria, M. Zabri, Abu Bakar

    Published 2020
    “…An autonomous self-exam monitoring is developed in order to assist the physicians in identifying diabetes at the early stage. Iris image is used to recognise the early detection of diabetes. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  15. 15

    Video surveillance: explosion detection by Lee, Shao Yuan

    Published 2025
    “…By leveraging three motion-based variables, including motion ratio, new pixel ratio and optical flow values, together with three detection approaches, namely global detection, non-eroded detection and eroded detection, the system demonstrates the effectiveness of motion based methods in detecting explosions at an early stage with acceptable performance. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  16. 16
  17. 17

    Electrocardiogram-based parameters for the prediction of sudden cardiac death: a review by Shaliza Jumahat, Norbahiah Misran, Gan, Kok Beng, Mohammad Tariqul Islam, M.A.M Yahya

    Published 2020
    “…This article reviews the mechanism and morphology of these parameters, which may potentially have a role to play in a future algorithm designed to identify early signs of SCD. …”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    Comparison of UAV flying height parameter for crack detection applications / Wan Nurdayini Batrisyia Wan Ghazali by Wan Ghazali, Wan Nurdayini Batrisyia

    Published 2024
    “…The objectives of this research include assessing the impact of UAV height and applying the Difference of Gaussian (DoG) Algorithms in crack identification. The goal here is to establish the level of effectiveness of the DoG algorithm in detecting cracks in images derived from orthomosaics at different heights. …”
    Get full text
    Get full text
    Student Project
  19. 19

    Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks by Al-Asaady, Maher Talal, Mohd Aris, Teh Noranis, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina

    Published 2025
    “…Key contributions include a comparative analysis of evolutionary, swarm intelligence, physics-based, human-inspired algorithms, and hybrid approaches benchmarked on classification datasets. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

    Published 2024
    “…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
    Get full text
    Get full text
    Thesis