Search Results - candidate ((determination algorithm) OR (detection algorithm))

Refine Results
  1. 1

    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

    Published 2018
    “…In the proposed TVS, a modified candidate segment selection technique is initially employed to determine the candidate segments from the entire video. …”
    Get full text
    Get full text
    Get full text
    Thesis
  2. 2

    Fraud detection in telecommunication industry using Gaussian mixed model by Mohd Yusoff, Mohd Izhan, Mohamed, Ibrahim, Abu Bakar, Mohd Rizam

    Published 2013
    “…The expectation maximization algorithm is used to estimate the parameter of the model such that the initial values of the algorithm is determined using the kernel method. …”
    Get full text
    Get full text
    Conference or Workshop Item
  3. 3
  4. 4

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…Moreover, the proposed algorithm result are compared to some common algorithms such as the A* algorithm, Probabilistic Road Map, RRT, Bi-directional RRT, and Laser Simulator algorithm to demonstrate its effectiveness. …”
    Get full text
    Thesis
  5. 5
  6. 6

    Dingle's Model-based EEG Peak Detection using a Rule-based Classifier by Asrul, Adam, Norrima, Mokhtar, Marizan, Mubin, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai

    Published 2015
    “…In this study, the performances of four different peak models of time domain approach which are Dumpala's, Acir's, Liu's, and Dingle's peak models are evaluated for electroencephalogram (EEG) signal peak detection algorithm. The algorithm is developed into three stages: peak candidate detection, feature extraction, and classification. …”
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7
  8. 8
  9. 9
  10. 10

    Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Mubin, M.

    Published 2016
    “…One particular eye blink can be determined from use of peak points. Therefore, the purpose of peak detection algorithm is to distinguish an actual peak location from a list of peak candidates. …”
    Get full text
    Get full text
    Article
  11. 11

    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network by Karimi, Abbas, Abedini, S. M., Zarafshan, Faraneh, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2013
    “…In other words, fuzzy logic is proposed based on three variables- energy, density and centrality-to introduce the best nodes to base station as cluster head candidate. Then, the number and place of cluster heads are determined in base station by using genetic algorithm based on chaotic. …”
    Get full text
    Get full text
    Article
  12. 12

    Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network by Asrul, Adam, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai, Marizan, Mubin

    Published 2016
    “…One particular eye blink can be determined from use of peak points. Therefore, the purpose of peak detection algorithm is to distinguish an actual peak location from a list of peak candidates. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Defect green coffee bean detection using image recognition and supervised learning by Shafian Izan Sofian

    Published 2022
    “…Therefore, in this research project, the process will be conducted by using an image classifier with the model of a machine learning algorithm which the candidates comprise of Support Vector Machine, k-Nearest Neighbour and Decision Tree. k-nearest neighbour has the highest F1-score (0.51) than the other two algorithms (Support Vector Machine: 0.50, and Decision Tree: 0.48). …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  14. 14

    3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain by Paidi, Zulfikri, Muhd Zain, Nurzaid

    Published 2016
    “…Our focus is to solve the first challenge in face registration, which is to detect and identify face region. From the experiment, it shows some promising results related to using background subtraction in face candidate region detection algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15
  16. 16
  17. 17

    Skin detection using HSV color component subtraction and texture information / Rizal Mat Jusoh and Norhazimi Hamzah by Mat Jusoh, Rizal, Hamzah, Norhazimi

    Published 2010
    “…This thesis presents skin detection algorithm for detecting human skin regions in color images. …”
    Get full text
    Get full text
    Research Reports
  18. 18

    Human odour detection approach using machine learning by Ahmed Qusay Sabri

    Published 2019
    “…In addition, 10 gasses are detected with zero values for both the entropy and the chi- square test, and these gasses are the strongest candidates to detect and classify odours. …”
    Get full text
    Get full text
    Get full text
    Thesis
  19. 19

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
    “…Real-time processing is still feasible as these sophisticated algorithms are applied only a small number of candidates foreground pixels. …”
    Get full text
    Get full text
    Research Reports
  20. 20

    A multi-color based features from facial images for automatic ethnicity identification model by Mohd Zamri, Osman, Mohd Aizaini, Maarof, Mohd Foad, Rohani, Nilam Nur Amir, Sjarif, Nor Saradatul Akmar, Zulkifli

    Published 2019
    “…In the feature extraction process, a dynamic skin color detection is adapted to extract the skin color information from the face candidate. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item