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  1. 1

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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    Thesis
  2. 2

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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    Thesis
  3. 3

    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

    Published 2012
    “…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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    Thesis
  4. 4

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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    Monograph
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    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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    Article
  7. 7

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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    Thesis
  8. 8

    Algorithm for calculation of cephalometric soft tissue facial traits by Azam Rana, Mohammad, Setan, Halim, Majid, Zulkepli, Chong, Albert K.

    Published 2007
    “…Up to now Malaysia does not have any source for normal trait values of human face. This algorithm can be used to calculate facial traits for building a nationwide database that can be used to compare normal traits with abnormal ones and then plan the surgery procedures. …”
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    Conference or Workshop Item
  9. 9

    Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid. by Abdul Khalid, Noor Elaiza

    Published 2010
    “…For this purpose, two algorithm are has been developed to automatically detect the OC and IC. …”
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    Thesis
  10. 10

    DEVELOPMENT OF IRIS RECOGNITION SYSTEM by Mohd Kamarudin, Nur Eliza

    Published 2016
    “…The “objective of this” project “is to develop” a secure “iris recognition” algorithm for identification management and access control. …”
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    Final Year Project
  11. 11

    Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method by Al-Mohair, Hani Kaid Saif

    Published 2017
    “…The experimental results reveal that the developed algorithm is able to achieve an accuracy of 87.82% F1-measure based on images from the ECU database. …”
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    Thesis
  12. 12

    Fuzzy qualitative human motion analysis by Chan, C.S., Liu, H.H.

    Published 2009
    “…First, a data-quantization process is proposed to relax the computational complexity suffered from visual tracking algorithms. Second, a novel human motion representation, i.e., qualitative normalized template, is developed in terms of the fuzzy qualitative robot kinematics framework to effectively represent human motion. …”
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    Article
  13. 13

    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid by Hamid, Aminuddin

    Published 2015
    “…From the result analysis, the developed control algorithm shows that the realtime GRF measurement has the ability to enhance the AAFO functional performance and improve the patient gait.…”
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    Thesis
  14. 14

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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    Thesis
  15. 15

    Feature extraction from oil palm in vitro shoot images by Ismail, Abdul Halim, Marhaban, Mohammad Hamiruce, Mohd Noor, Samsul Bahari, Hashim, Ahmad Tarmizi

    Published 2010
    “…The feature extraction techniques are discussed in this article. The algorithms and methods developed are robust and advanced enough to be used in combination with a machine vision algorithm and automation system. …”
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    Article
  16. 16

    Tracking using normalized cross correlation and color space by P., Sebastian, V.V., Yap

    Published 2007
    “…The aim of this paper is to describe the implementation a face tracking algorithm for video conferencing environment using the normalized cross correlation method. …”
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    Conference or Workshop Item
  17. 17

    Lane detection system for autonomous vehicle using image processing techniques by Mohd Kiblee, Shahizul Eza

    Published 2005
    “…A Radon peak detection algorithm was developed based on two values, Rand O. …”
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    Thesis
  18. 18

    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…The new adaptive algorithm is called dynamic quaternion least mean square algorithm (DQLMS) because of the normalization process of the filter input and the variable step-size. …”
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    Thesis
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