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  1. 1

    Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques by Ahmed Sabit, Hakilo

    Published 2006
    “…Baffles of different shapes are inserted to artificially create expected flow regimes and data captured in this way are used in training and evaluating the network’s performance. …”
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    Thesis
  2. 2

    Detection of sweetness level for fruits (watermelon) with machine learning by Wan Nazulan, Wan Nurul Suraya, Asnawi, Ani Liza, Mohd Ramli, Huda Adibah, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohamed Azmin, Nor Fadhillah

    Published 2020
    “…The objective of this work is to investigate the sweetness parameter for the fruit’s detection and classification algorithm in machine learnings. This study applies image processing techniques to detect the color and shape of watermelon’s skin for grading based on the sweetness level using K-means clustering method via the Python platform. 13 samples of watermelon images are used to test the functionality of the proposed detection system in this study. …”
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    Proceeding Paper
  3. 3

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…The assessment of the proposed indexing scheme is conducted based on recall and precision, a standard CBIR retrieval performance evaluation. …”
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    Thesis
  4. 4

    Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

    Published 2018
    “…Moreover, with the advancement of steganography, several researchers have recently devised steganalysis techniques, which threaten the steganographic systems. This means that any changes on the cover media (c) could lead to the identification of the stego media (s), which contains the secret message (m). …”
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    Thesis
  5. 5

    Human identification at a distance using body shape information by Alang Md Rashid, Nahrul Khair, Yahya, M. F., Shafie, Amir Akramin

    Published 2013
    “…This paper presents an intelligent system approach for human identification at a distance using human body shape information. …”
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    Article
  6. 6

    Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali by Mohd Razali, Ainaa Farhanah

    Published 2022
    “…The results of the verification of the system algorithm on the simulated 3D areal surface topography of a sloped bumps shows that the system algorithm can effectively identified the edges features and segmented them following the shape partem of the surface features of the sloped bumps. …”
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    Thesis
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    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…Adopting the medoid instead of the mean can enhance the efficiency. However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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    Thesis
  9. 9

    An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity by Tan, Mei Synn, Wang, Yin Chai

    Published 2018
    “…Algorithms of investigation starting with span from extraction, matching and classification to determine the interest point of flower species, like colour and shape features information. …”
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    Proceeding
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    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

    Published 2012
    “…Experiment for comparison between manual process identification by experts with automated recognition process performed by system. …”
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    Thesis
  13. 13

    Vision-based flame analysis using motion and Edge Detection by Razmi, Suzilawati Mohd, Saad, Nordin, Asirvadam, Vijanth Sagayan

    Published 2010
    “…System identification will be used to obtain a process model of the flame. …”
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    Conference or Workshop Item
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    Edge link detector based weed classifier by M.H., Siddiqi, I., Ahmad, S., Sulaiman

    Published 2009
    “…To automate these activities, like in shape, color and texture, weed control system is feasible. …”
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    Conference or Workshop Item
  16. 16

    Bacteria identification via Artificial Neural Network based-on Bergey’s manual by Ruhaimi, Amirul Hafiiz

    Published 2017
    “…Due to limitations and disadvantages of current identification process of unknown bacteria, artificial neural network can be employed as an alternative technique in bacteria identification at low cost and less time consuming. …”
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    Student Project
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    An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis by Tie, K. H., A., Senawi, Chuan, Z. L.

    Published 2022
    “…The objective of this paper is to investigate how the parameters behave with a measurement criterion for feature selection, that is, the total error reduction ratio (TERR). The k-means and the Gaussian mixture distribution were adopted as the clustering algorithms and each algorithm was tested on four datasets with four distinct clustering evaluation criteria: Calinski-Harabasz, Davies-Bouldin, Gap and Silhouette. …”
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    Book Chapter
  19. 19

    Application of artificial neural network in bacteria identification based on Bergey’s manual: Hydrogenophilaceae family: article by Ruhaimi, Amirul Hafiiz, Ahmad, Normadyzah, Husin, Hazlina, Mohamad Pauzi, Syazana

    Published 2017
    “…Due to limitations and disadvantages of current identification process of unknown bacteria, artificial neural network can be employed as an alternative technique in bacteria identification at low cost and less time consuming. …”
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    Article
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    Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network by Abdulrazzak H.N., Hock G.C., Mohamed Radzi N.A., Tan N.M.L., Kwong C.F.

    Published 2023
    “…The evaluation process was implemented on RK-Means, K-Means++, and OK-Means models. …”
    Article