Search Results - (( stone detection _ algorithm ) OR ( image classification using algorithms ))*

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  1. 1
    Solving time gap problems through the optimization of detecting stepping stone algorithm

    Solving time gap problems through the optimization of detecting stepping stone algorithm by Omar, Mohd. Nizam, Maarof, Mohd. Aizaini, Zainal, Anazida

    Published 2004
    “…It is found that current algorithm of detecting stepping stone is not optimized. …”
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  2. 2
    Using a novel algorithm in ultrasound images to detect renal stones

    Using a novel algorithm in ultrasound images to detect renal stones by Sania Eskandari, Saeed Meshgini, Ali Farzamnia

    Published 2021
    “…Expectation–Maximization algorithm is a novel method used by us for the first time for identifying renal stones. …”
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    Proceedings
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  3. 3
    Pengoptimuman algoritma pengesanan batu loncatan dalam sistem pengesanan pencerobohan

    Pengoptimuman algoritma pengesanan batu loncatan dalam sistem pengesanan pencerobohan by Omar, Mohd. Nizam

    Published 2005
    “…In this research, special Top-Down methodology has been used to optimize the stepping stone algorithm. It is achieved by analyzing five stepping stone algorithms, in which each algorithm is divided into three main parts. …”
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  4. 4
    Enhancement of a Stepping Stone Detection Algorithm Using Data Mining and Associate Rule Techniques (S/O: 12896)

    Enhancement of a Stepping Stone Detection Algorithm Using Data Mining and Associate Rule Techniques (S/O: 12896) by Omar, Mohd Nizam, Ghazali, Osman, Daud, Ali Yusny, Azzali, Fazli

    Published 2020
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  5. 5
    The optimization of stepping stone detection: packet capturing steps

    The optimization of stepping stone detection: packet capturing steps by Omar, Mohd. Nizam, Maarof, Mond. Aizaini, Zainal, Anazida

    Published 2006
    “…This paper proposes an optimized packet capturing stone detection algorithm that can shorten the response time of overall response mechanism. …”
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  6. 6
    The optimization of stepping stone detection : packet capturing steps

    The optimization of stepping stone detection : packet capturing steps by Omar, Mohd. Nizam, Maarof, Mohd. Aizaini, Zainal, Anazida

    Published 2006
    “…This paper proposes an optimized packet capturing stone detection algorithm that can shorten the response time of overall response mechanism. …”
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  7. 7
    The optimization of stepping stone detection: Packet capturing steps

    The optimization of stepping stone detection: Packet capturing steps by Omar, Mohd Nizam, Maarof, Mohd Aizaini, Zainal, Anazida

    Published 2006
    “…This paper proposes an optimized packet capturing stone detection algorithm that can shorten the response time of overall response mechanism.The aim of the research is to improve the packet capturing step in stepping stone algorithm, thus, improve the response from overall detection and response system.The proposed method is to use small size of user buffer and kernel buffer.Experiments were conducted with two types of packet stream; i) 10 kbps and ii) 10 000 kbps data generated by Tfgen (packet generator) tools and nine combinations of different buffer sizes for each network packet stream were tested.Results from the experiment were analyzed. …”
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  8. 8
    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…In addition, the best band selected for image classification is not necessarily the best for classification.A Best Band Selection Index (BBSI) algorithm was developed which is capable of selecting the best band combination for image visualization and supervised classification. …”
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  9. 9
    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification

    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

    Published 2023
    “…Therefore, an improved feature extraction and selection for sky image classification (FESSIC) algorithm is proposed. …”
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  10. 10
    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani

    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
    “…The urban growth images obtained are analysed to improve existing classification algorithms. …”
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  11. 11
    Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza

    Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza by Khaimuza, Haris Hidayatullah

    Published 2024
    “…Second objective is to develop the prototype of daisy species classification based on image using CNN algorithm. The last objective is to evaluate the accuracy of CNN model in the daisy species classification based on image. …”
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  12. 12
    Phylogenetic tree classification system using machine learning algorithm

    Phylogenetic tree classification system using machine learning algorithm by Tan, Jia Kae

    Published 2015
    “…A study is conducted to develop an automated phylogenetic tree image classification system by using machine learning algorithm. …”
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    Final Year Project Report / IMRAD
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  13. 13
    Laser-induced backscattering imaging for classification of seeded and seedless watermelons

    Laser-induced backscattering imaging for classification of seeded and seedless watermelons by Mohd Ali, Maimunah, Hashim, Norhashila, Bejo, Siti Khairunniza, Shamsudin, Rosnah

    Published 2017
    “…The laser-induced backscattering imaging technique is potentially useful for classification of seeded and seedless watermelons.…”
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  14. 14
    Automatic classification of medical x-ray images

    Automatic classification of medical x-ray images by Zare, M.R., Seng, W.C., Mueen, A.

    Published 2013
    “…Image representation is one of the major aspects of automatic classification algorithms. …”
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  15. 15
    Region-growing based segmentation and bag of features classification for breast ultrasound images

    Region-growing based segmentation and bag of features classification for breast ultrasound images by Lee, Lay Khoon

    Published 2017
    “…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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  16. 16
    The use of SOM for fingerprint classification

    The use of SOM for fingerprint classification by Turky A.M., Ahmad M.S.

    Published 2023
    “…This paper introduces an approach to fingerprint classification by using Self-Organizing Maps (SOM). In order to be able to deal with fingerprint images having distorted regions, the SOM learning and classification algorithms are modified. …”
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  17. 17
    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms

    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

    Published 2024
    “…It involves identifying and isolating relevant information from the images that classification algorithms can use to distinguish between different fruit categories. …”
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  18. 18
    Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification

    Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification by Mohd Nizom, Ahmad Nabil

    Published 2018
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    Monograph
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  19. 19
    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim

    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim by Ibrahim, Shafaf

    Published 2015
    “…This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. …”
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  20. 20
    Classification of Citrus (Rutaceae) by Using Image Processing

    Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

    Published 2019
    “…The study present how to classify selected Citrus genus species with similar leaf shapes based on leaf images by using digital image vision machine classification. …”
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    Undergraduate Final Project Report
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