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  1. 1
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…This report details the development of an autonomous guide robot system for visually impaired individuals using the ROS 2 framework and the Wheeltec R550 Robot platform. …”
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  2. 2
    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin

    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin by Nasaruddin, Amir Hambaly

    Published 2019
    “…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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  3. 3
    Sensing texture using an artificial finger and a data analysis based on the standard deviation

    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, Nik Hazrin, Cranny, Andy, White, Neil M.

    Published 2015
    “…The results from experiments with a screen-printed piezoelectric sensor, mounted on an artificial finger-tip and including a cosmetic covering, are shown to detect surface information from regular texture patterns. For the automatic control of an artificial hand and to feedback information to the amputee, an algorithm has been developed based on the standard deviation (SD) of signal data from the sensor. …”
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  4. 4
    Haptic Texture Search Engine Framework

    Haptic Texture Search Engine Framework by Adi, Waskito, Sulaiman, Suziah

    Published 2010
    “…Based on our experiments that include searching algorithm and haptic rendering, the result shows that computer vision algorithm can be applied into and suitable for generating haptic textures. …”
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  5. 5
    Sensing texture using an artificial finger and a data analysis based on the standard deviation

    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, N. H. H, Cranny, Andy, White, Neil M.

    Published 2015
    “…The results from experiments with screen-printed a piezoelectric sensor, mounted on an artificial finger-tip and including a cosmetic covering, are shown to detect surface information from regular texture patterns. For the automatic control of an artificial hand and to feedback information to the amputee, an algorithm has been developed based on the standard deviation of signal data from the sensor. …”
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  6. 6
    Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction

    Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction by Abd Razak, Siti Safwana

    Published 2019
    “…Comparison of this framework continue in some of the state-of-the-arts algorithm in the literature and the results is outperformed based on the proposed algorithm experimental result.…”
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  7. 7
    Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method

    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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  8. 8
    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure

    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

    Published 2019
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  9. 9
    The Development of Color Based Visual Search Utility

    The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

    Published 2001
    “…As a result, several content- based image searching systems or met hods were developed. …”
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  10. 10
    Wood texture detection with conjugate gradient neural network algorithm

    Wood texture detection with conjugate gradient neural network algorithm by Widyarto, Setyawan, Suryasa, I. Nyoman, Khairul Annuar, Abdullah, Fajarianto, Otto, Mohd Shafry, Mohd Rahim, Priyandoko, Gigih, Budaya, Gilang Anggit

    Published 2017
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  11. 11
    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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  12. 12
    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, N.F.B., Faye, I., May, Z.

    Published 2014
    “…A working classification algorithm is developed and gives a mean accuracy of 84 out of 125 test images. …”
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  13. 13
    Graphical user interface for bounded-addition fuzzy splicing systems and their variants / Mathuri Selvarajoo ... [et al.]

    Graphical user interface for bounded-addition fuzzy splicing systems and their variants / Mathuri Selvarajoo ... [et al.] by Selvarajoo, Mathuri, Santono, Mohd Pawiro, Fong, Wan Heng, Sarmin, Nor Haniza

    Published 2023
    “…In this research, a graphical user interface is developed to generate all the splicing languages generated by bounded-addition fuzzy splicing systems and their variants. An algorithm is developed using JAVA and Visual Studio Code software in order to replace the time-consuming manual computation of the languages generated by bounded-addition fuzzy DNA splicing systems and their variants.…”
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  14. 14
    Fruit recognition system / Nurul Husna Mohd Hofni

    Fruit recognition system / Nurul Husna Mohd Hofni by Nurul Husna, Mohd Hofni

    Published 2011
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  15. 15
    Obstacle detection for Unmanned Aerial Vehicle (UAV)

    Obstacle detection for Unmanned Aerial Vehicle (UAV) by Abdul Khaliq, Nor Aizatul Nabila, Ramli, Muhammad Faiz

    Published 2022
    “…Due to physical size restrictions and payload capacity, the lightweight Pi Camera and TF Luna LiDAR sensor were selected as the most suitable sensors for integration. In algorithm development and filtration is used to improve the accuracy of the feature matching process, which is required for classifying the obstacle region and free region of any texture obstacle. …”
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  16. 16
    A Steganalysis Classification Algorithm Based on Distinctive Texture Features

    A Steganalysis Classification Algorithm Based on Distinctive Texture Features by Hammad B.T., Ahmed I.T., Jamil N.

    Published 2023
    “…Therefore, in this research, we present a steganalysis classification method based on one of the texture features chosen, such as segmentation-based fractal texture analysis (SFTA), local binary pattern (LBP), and gray-level co-occurrence matrix (GLCM). …”
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  17. 17
    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
    “…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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  18. 18
    Splicing system and their variants with fuzzy algebraic sum / Mohd Pawiro Santono Othman

    Splicing system and their variants with fuzzy algebraic sum / Mohd Pawiro Santono Othman by Othman, Mohd Pawiro Santono

    Published 2023
    “…An algorithm is then developed in JAVA using visual code studio software to replace the time-consuming manual computation of the languages generated by algebraic sum fuzzy splicing systems and their variants. …”
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  19. 19
    Computer vision automation system for sorting partially overlapping tiles

    Computer vision automation system for sorting partially overlapping tiles by Hussin, Neam Tariq

    Published 2019
    “…A texture feature extraction algorithm based on (standard deviation of intensities and entropy) were developed and compared in the third component to identify overturned tiles from white tiles. …”
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  20. 20
    Herb recognition for mobile apps / Jumriyanie Baba

    Herb recognition for mobile apps / Jumriyanie Baba by Baba, Jumriyanie

    Published 2017
    “…An image of the leaf is captured and texture feature is extracted. Texture feature is preferable because color and shape features can be influenced by lighting. …”
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