Search Results - (( using function a algorithm ) OR ( based detection using algorithm ))

Refine Results
  1. 1

    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

    Published 2020
    “…The objectives of the project are to design and develop a prototype of adaptive Glioblastoma detection using Evolutionary-based algorithm to assist in detecting brain tumor and also to test the prototype’s functionality and detection accuracy. …”
    Get full text
    Get full text
    Thesis
  2. 2
  3. 3

    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System by Wong, Ze-Hao

    Published 2020
    “…Then, the histogram distance function for each location is computed using a pseudo-probability combination of novel histogram distance functions on a clustered histogram. …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5

    Breast cancer disease classification using fuzzy-ID3 algorithm based on association function by Nur Farahaina, Idris, Mohd Arfian, Ismail, Mohd Saberi, Mohamad, Shahreen, Kasim, Zalmiyah, Zakaria, Sutikno, Tole

    Published 2022
    “…The FID3-AF algorithm is a hybridisation of the fuzzy system, the iterative dichotomizer 3 (ID3) algorithm, and the association function. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults by Mat Isa, Masnita

    Published 2012
    “…Therefore, this thesis proposed a new two phase algorithm based on March tests to specifically distinguish the two faults. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Improving intrusion detection using genetic algorithm by Hashemi, V. Moraveji, Muda, Zaiton, Yassin, Warusia

    Published 2013
    “…To overcome this problem, a genetic algorithm approach is proposed. Genetic Algorithm (GA) is most frequently employed as a robust technology based on machine learning for designing IDS. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    MotionSure: a cloud-based algorithm for detection of injected object in data in motion by Islam, Thouhedul, Olanrewaju, Rashidah Funke, Khalifa, Othman Omran

    Published 2017
    “…Total 1600 different type of files were used for evaluation of the proposed algorithm, results show that 87% of injected objects were correctly detected…”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  9. 9

    A comparative study of pitch detection algorithms for microcontroller based voice pitch detector by Nuraina Suryani binti Ruslan, Mazlina Mamat, Rosalyn R. Porle, Norfarariyanti Parimon

    Published 2017
    “…This paper presents a study to compare the performance of two pitch detection algorithms namely the Autocorrelation Function and the Cepstrum Analysis to select a suitable algorithm that can be developed into a standalone voice pitch detector. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Neural network algorithm-based fall detection modelling by Mohd Yusoff, Ainul Husna, Koh, Cheng Zhi, Ngadimon, Khairulnizam, Md Salleh, Salihatun

    Published 2020
    “…This article presents results of modelling for fall detection system by using nonlinear autoregression neural network NARnet algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods by Mohd Sharif, Zakaria, Mohammad Fadhil, Abas, Fatimah, Dg Jamil, Norhafidzah, Mohd Saad, Addie, Irawan, Pebrianti, Dwi

    Published 2024
    “…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12

    Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods by Zakaria, Mohd Sharif, Abas, Mohammad Fadhil, Dg Jamil, Fatimah, Mohd Saad, Norhafidzah, Hashim, Addie Irawan, Pebrianti, Dwi

    Published 2024
    “…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  13. 13

    March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults by Mihai, Masnita, Wan Hassan, Wan Zuha, Sidek, Roslina, Abdul Halin, Izhal

    Published 2009
    “…March tests have been widely used for detecting functional faults during SRAM testing. …”
    Get full text
    Get full text
    Article
  14. 14

    Data in transit validation for cloud computing using cloud-based algorithm detection of injected objects by Olanrewaju, Rashidah Funke, Islam, Thouhedul, Khalifa, Othman Omran, Fajingbesi, Fawwaz Eniola

    Published 2018
    “…A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff by Mohd Yusoff, Mohd Izhan

    Published 2014
    “…We introduce a new algorithm that could detect fraud activities in telecommunication industry (e.g. intrusion fraud which occurs when legitimate account is comprised by an intruder who makes or sells calls on this account) that uses Gaussian Mixed Model (or GMM), a probabilistic model normally used in fraud detection via speech recognition. …”
    Get full text
    Get full text
    Get full text
    Thesis
  16. 16

    A Novel Method for Detecting Breast Cancer Location Based on Growing GA-FCM Approach by Milad Abaspoor, Saeed Meshgini, Tohid Yousefi Rezaii, Ali Farzamnia

    Published 2020
    “…In this paper, we used manual methods and use of FCM as the function of genetic algorithm fitness. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor by Adilah, Abdul Ghapor

    Published 2017
    “…The simulation results indicate that the proposed method is suitable to detect a single outlier. As for the multiple outliers, a clustering algorithm is considered and a dendogram to visualise the clustering algorithm is used. …”
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18

    Real-Time Face Detection And Tracking Using Software And Hardware Design by Chen, Kok Keat

    Published 2018
    “…The face detection algorithm involved colour-based skin segmentation and image filtering. …”
    Get full text
    Get full text
    Monograph
  19. 19

    Anomaly detection in ICS datasets with machine learning algorithms by Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Abdul Rahman, Farah Diyana, Tahir, Mohammad

    Published 2021
    “…The activity traffic between ICS components is analyzed and packet inspection of the dataset is performed for the ICS network. The features of flow-based network traffic are extracted for behavior analysis with port-wise profiling based on the data baseline, and anomaly detection classification and prediction using machine learning algorithms are performed.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Clonal selection algorithm for the cryptanalysis of a simple substitution cipher by Ahmad, Badrisham, Maarof, Mohd. Aizaini, Ibrahim, Subariah, Kutty Mammi, Hazinah, Mohamed Amin, Muhalim, Z'aba, Muhammad Reza

    Published 2006
    “…The main aim of the algorithm is to create a group of memories for antibodies which is used to solve engineering problems. …”
    Get full text
    Get full text
    Conference or Workshop Item