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

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  1. 1
    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments

    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. …”
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  2. 2
    Fraud detection in telecommunication industry using Gaussian mixed model

    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. …”
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  3. 3
    Automatic detection of face and facial features

    Automatic detection of face and facial features by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Sugisaka, M.

    Published 2011
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  4. 4
    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…The algorithms were examined on two real datasets, namely, NSL-KDD and Landsat. …”
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  5. 5
    A generalized laser simulator algorithm for optimal path planning in constraints environment

    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. …”
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  6. 6
    Efficient distance computation algorithm between nearly intersected objects using dynamic pivot point in virtual environment application

    Efficient distance computation algorithm between nearly intersected objects using dynamic pivot point in virtual environment application by Hamzah Asyrani Sulaiman, Abdullah Bade, Mohd Harun Abdullah

    Published 2014
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  7. 7
    Dingle's Model-based EEG Peak Detection using a Rule-based Classifier

    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. …”
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  8. 8
    Efficient distance computation algorithm between nearly intersect objects using dynamic pivot point in virtual environment application

    Efficient distance computation algorithm between nearly intersect objects using dynamic pivot point in virtual environment application by Sulaiman, Hamzah Asyrani, Bade, Abdullah, Abdullah, Mohd Harun

    Published 2013
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  9. 9
    Classification of Short Possessive Clitic Pronoun Nya in Malay Text to Support Anaphor Candidate Determination

    Classification of Short Possessive Clitic Pronoun Nya in Malay Text to Support Anaphor Candidate Determination by Mohd Noor, Noor Huzaimi@Karimah, Mohd Noah, Shahrul Azman, Ab Aziz, Mohd Juzaiddin

    Published 2020
    “…Anaphor candidate determination is an important process in anaphora resolution (AR) systems. …”
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  10. 10
    Classification of short possessive clitic pronoun Nya in Malay text to support anaphor candidate determination

    Classification of short possessive clitic pronoun Nya in Malay text to support anaphor candidate determination by Mohd Noor, Noor Huzaimi@Karimah, Mohd Noah, Shahrul Azman, Ab Aziz, Mohd Juzaiddin

    Published 2020
    “…Anaphor candidate determination is an important process in anaphora resolution (AR) systems. …”
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  11. 11
    Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network

    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. …”
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  12. 12
    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network

    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. …”
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  13. 13
    Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network

    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. …”
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  14. 14
    Defect green coffee bean detection using image recognition and supervised learning

    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). …”
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  15. 15
    3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain

    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. …”
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  16. 16
    Automated face localization and facial features detection using geometric information

    Automated face localization and facial features detection using geometric information by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Karthigayan, M., Sugisaka, M., Hazry, Desa, Dr., Ibrahim, Z.

    Published 2011
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  17. 17
    Real-time detection of face and iris

    Real-time detection of face and iris by Chai, Tong Yuen, Mohamed Rizon, Mohamed Juhari, Prof. Dr., Muhammad Shazri

    Published 2011
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  18. 18
    Skin detection using HSV color component subtraction and texture information / Rizal Mat Jusoh and Norhazimi Hamzah

    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. …”
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  19. 19
    Human odour detection approach using machine learning

    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. …”
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  20. 20
    Hybrid genetic algorithm for uncapacitated university examination timetabling problem

    Hybrid genetic algorithm for uncapacitated university examination timetabling problem by Ishak, Suhada

    Published 2015
    “…The main components of the genetic operators in a Genetic Algorithm (GA) will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). …”
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