Search Results - (( java segmentation using algorithm ) OR ( pattern perceptions detection algorithm ))

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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat

    Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat by Al Zahrawi, Rasha Talal, Syed Abdullah, Syed Nurulakla, Sarirete, Akila, Abdullah, Muhammad Alif Redzuan

    Published 2025
    “…Key findings reveal distinct patterns in simile usage, particularly the prevalence of perceptible-perceptible and cognitive-cognitive categories, emphasizing the role of figurative language in fostering thematic and emotional engagement. …”
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  5. 5
    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest

    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest by Ghulam Hussain, Muhammad Thaqif, Shafeeq Lone, Aman, Maspo, Nur-Adib, Attarbashi, Zainab

    Published 2026
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  6. 6
    Watermarking technique based on ISB (Intermediate Significant Bit)

    Watermarking technique based on ISB (Intermediate Significant Bit) by Zeki, Akram M., Abdul Manaf, Azizah, Olanweraju, Rashidah Funke

    Published 2010
    “…It inserts a perceptually transparent pattern called watermark in an image called host or cover using an embedding algorithm. …”
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  7. 7
    An early investigation into raised-line tactile graphics reading behavior among blind and visually impaired individuals

    An early investigation into raised-line tactile graphics reading behavior among blind and visually impaired individuals by Muhammad Ikmal Hakim Shamsul Bahrin, Hazlina Md Yusof, Shahrul Na’im Sidek, Aimi Shazwani Ghazali

    Published 2024
    “…To bridge this gap, this paper introduces a fingertip tracking system employing color marker detection algorithm to investigate the cognitive process of four totally blind participants associated with the Malaysian Association for The Blind (MAB). …”
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  8. 8
    An early investigation into raised-line tactile graphics reading behavior among blind and visually impaired individuals

    An early investigation into raised-line tactile graphics reading behavior among blind and visually impaired individuals by Shamsul Bahrin, Muhammad Ikmal Hakim, Md Yusof, Hazlina, Sidek, Shahrul Na'im, Ghazali, Aimi Shazwani

    Published 2024
    “…To bridge this gap, this paper introduces a fingertip tracking system employing color marker detection algorithm to investigate the cognitive process of four totally blind participants associated with the Malaysian Association for The Blind (MAB). …”
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  9. 9
    Permutation entropy based full-reference image quality qssessment

    Permutation entropy based full-reference image quality qssessment by Baqar, Mohtashim *, Lau, Sian Lun *, Mansoor Ebrahim

    Published 2019
    “…Permutation entropy helps in detecting and visualizing changes related to structures with the correlation between successive samples instead of considering magnitudes of the signal, and since, perception of an image to the HVS changes more because of structural changes in an image rather than that of visible errors i.e. …”
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