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  1. 1
    Enhancement of medical image compression algorithm in noisy WLANS transmission

    Enhancement of medical image compression algorithm in noisy WLANS transmission by Algaet, Mustafa Almahdi

    Published 2018
    “…For image reconstruction,decoding steps based the developed quantization architecture are examined.The EICA is particularly useful where the size of the transmitted data needs to be reduced to minimize the image transmission time.For data compression with suitable and effective performance,enhanced independent components analysis (EICA) is proposed as an algorithm for compression and decompression of medical data.A comparative analysis is performed based on existing data compression techniques:discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT),and Joint Photographic Experts Group (JPEG 2000).Three main modules,namely,compression segment (CS),transceiver segment (TRS),and outcome segment (OTS) modules,are developed to realize a fully computerized simulation tool for medical data compression with suitable and effective performance.To compress medical data using algorithms,CS module involves four different approaches which are DCT, SPIHT,JPEG 2000 and EICA.TRS module is processed by low-cost WLANs with low-bandwidth transmission.Finally,OTS is used for data decompression and visualization result.In terms of compression module,results show the benefits of applying EICA in medical data compression and transmission.While for system design,the developed system displays favorable outcomes in compressing and transmitting medical data.In conclusion,all three modules (CS,TRS,and OTS) are integrated to yield a computerized prototype named as Medical Data Simulation System(Medata-SIM) computerized system that includes medical data compression and transceiver for visualization to aid medical practitioners in carrying out rapid diagnoses.…”
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  2. 2
    The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman

    The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman by Abdul Rahman, Hayati

    Published 2006
    “…Later in the retrieval development, the segmentation would be used for the indexing part. …”
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    Research Reports
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  3. 3
    The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman

    The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman by Abd Rahman, Hayati

    Published 2006
    “…The inverted file method has been used for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
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  4. 4
    Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm

    Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

    Published 2004
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  5. 5
    Customer mobile behavioral segmentation and analysis in telecom using machine learning

    Customer mobile behavioral segmentation and analysis in telecom using machine learning by Sharaf Addin, Eman Hussein, Admodisastro, Novia Indriaty, Mohd Ashri, Siti Nur Syahirah, Kamaruddin, Azrina, Chew, Yew Chong

    Published 2021
    “…Unsupervised machine learning algorithm K-means was used to cluster the data, and these results were analyzed and labeled with labels and descriptions. …”
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  6. 6
    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment

    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

    Published 2007
    “…However, hyperspectral image systems produce large data sets that are not easily interpretable by visual analysis and therefore require automated processing algorithm. …”
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  7. 7
    Cabbage disease detection system using k-NN algorithm

    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…It is a method of extracting second-order statistical texture features to detect diseases more efficiently. Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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    Academic Exercise
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  8. 8
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…This thesis focuses on a method to recognize and detect a human at the surveillance or highlighted area boundary based their head beside; a simulation system of head detection was developed using image processing. The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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  9. 9
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…This thesis focuses on a method to recognize and detect a human at the surveillance or highlighted area boundary based their head beside; a simulation system of head detection was developed using image processing. The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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  10. 10
    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves

    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
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  11. 11
    The development of automated segmentation for the FTMSK official letters in XML / Muhammad Muhaimin Mohd Isa

    The development of automated segmentation for the FTMSK official letters in XML / Muhammad Muhaimin Mohd Isa by Mohd Isa, Muhammad Muhaimin

    Published 2005
    “…The target of this thesis is to apply the standard of official letter for the system, as well as to develop the algorithm which will segment the letter documents, and convert to XML documents. …”
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  12. 12
    Deep learning-based water segmentation for autonomous surface vessel

    Deep learning-based water segmentation for autonomous surface vessel by Mohd Adam, Muhammad Ammar, Ibrahim, Ahmad Imran, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus

    Published 2020
    “…Using the developed ASV, new dataset of 143 images called Malaysia ASV Dataset (MASVD) is collected, labelled and made publicly available. …”
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    Proceeding Paper
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  13. 13
    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC

    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC by Jamil, Nur Farahim

    Published 2014
    “…A working classification algorithm is developed by using MATLAB and the Fuzzy Logic Toolbox to differentiate and classify the staining pattern of HEp-2 cell images. …”
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    Final Year Project
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  14. 14
    G2 parametric curve and surface fitting using beta-spline / Normi Abdul Hadi

    G2 parametric curve and surface fitting using beta-spline / Normi Abdul Hadi by Abdul Hadi, Normi

    Published 2015
    “…The reconstructed 3D images are compared visually with the images using the other techniques. …”
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  15. 15
    Fast shot boundary detection based on separable moments and support vector machine

    Fast shot boundary detection based on separable moments and support vector machine by Idan, Zinah N., Abdulhussain, Sadiq H., Mahmmod, Basheera M., Al-Utaibi, Khaled A., Syed Abdul Rahman Al-, Syed Abdul Rahman Al-Hadad, Sait, Sadiq M.

    Published 2021
    “…Second, for each active area, the moments are computed using orthogonal polynomials. Then, an adaptive threshold and inequality criteria are used to eliminate most of the non-transition frames and preserve candidate segments. …”
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  16. 16
    Analyzing customer reviews for ARBA Travel using sentiment analysis

    Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

    Published 2025
    “…Three machine learning algorithms which are Naive Bayes, Logistic Regression, and Support Vector Machine, were implemented and evaluated using cross-validation and performance metrics such as accuracy, precision, recall, and F1- score. …”
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  17. 17
    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques

    Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

    Published 2022
    “…The findings demonstrated that these methods are handcrafted and the algorithms need to be changed when applying to different images, which is not practical to be used during flood disasters. …”
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  18. 18
    Data mining and analysis for predicting electrical energy consumption

    Data mining and analysis for predicting electrical energy consumption by Khudhair I.Y., Dhahi S.H., Alwan O.F., Jaaz Z.A.

    Published 2024
    “…This classification was done using data mining (five algorithms in specific) and data analysis theory. …”
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  19. 19
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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  20. 20
    3D multimodal cardiac data reconstruction using computerized tomographic angiography and x-ray angiography registration

    3D multimodal cardiac data reconstruction using computerized tomographic angiography and x-ray angiography registration by Moosavitayebi, Seyed Rohollah

    Published 2016
    “…In this study, coronary arteries from two modalities are registered in order to create a 3D reconstruction and visualization of stenosis position. Over the last decade, some algorithms have been developed to register coronary arteries from the above modalities. …”
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