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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
    Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis

    Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis by Ghosh, Prakash, Bhaskar, Khondaker R. H., Hossain, Faria, Khan, Md Anik Ashfaq, Vallur, Aarthy C., Duthie, Malcolm S., Hamano, Shinjiro, Huda, M. Mamun, Salam, Md. Abdus, Khan, Md Gulam Musawwir, Coler, Rhea N., Reed, Steven G., Mondal, Dinesh

    Published 2016
    “…Together, our results indicate that rK28-based antibody detection tests using urine could provide a completely non-invasive tool amenable for diagnosis of VL in remote locations.…”
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  5. 5
    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin

    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

    Published 2021
    “…Exploring the app's state extensively requires long event sequences to find the correct combination of actions, leading to excessively long transitions and wasted time. Such tools must choose not only which user interface element to interact with, but also which type of action to be performed to increase the percentage of code coverage and to detect faults with a limited time budget. …”
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  6. 6
    A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients

    A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients by Rahman, Md Saidur, Md Nor, Nor Saadah

    Published 2024
    “…It requires early detection for management. Artificial Intelligence (AI) has emerged as a transformative tool in the management of CKD, enabling more precise diagnosis, treatment optimization, and long-term care. …”
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