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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
    ReSTiNet: An efficient deep learning approach to improve human detection accuracy

    ReSTiNet: An efficient deep learning approach to improve human detection accuracy by Shahriar Shakir, Sumi, Dayang Rohaya, Awang Rambli, Mirjalili, Seyedali, Miah, M. Saef Ullah, Muhammad Mudassir, Ejaz

    Published 2023
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  5. 5
    ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy

    ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy by Sumit, S.S., Rambli, D.R.A., Mirjalili, S., Miah, M.S.U., Ejaz, M.M.

    Published 2023
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  6. 6
    An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan

    An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

    Published 2018
    “…We propose an extension of the EigenSpot algorithm, called Multi-EigenSpot that is able to handle multiple hotspots by iteratively removing previously detected hotspots and re-running the algorithm until no more hotspots are found. …”
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  7. 7
    An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan

    An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

    Published 2018
    “…We propose an extension of the EigenSpot algorithm, called Multi-EigenSpot that is able to handle multiple hotspots by iteratively removing previously detected hotspots and re-running the algorithm until no more hotspots are found. …”
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  8. 8
    ReSTiNet : An efficient deep learning approach to improve human detection accuracy

    ReSTiNet : An efficient deep learning approach to improve human detection accuracy by Sumit, Shahriar Shakir, Dayang Rohaya, Awang Rambli, Seyedali, Mirjalili, Miah, Md Saef Ullah, Muhammad Mudassir, Ejaz

    Published 2023
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  9. 9
    An Automated Method For Model-Plant Mismatch Detection And Correction In Process Plants Employing Model Predictive Control (MPC)

    An Automated Method For Model-Plant Mismatch Detection And Correction In Process Plants Employing Model Predictive Control (MPC) by Ahmed Bahakim, Sami Saeed

    Published 2012
    “…Therefore, detection of the location of the mismatch is needed so that only that channel is re-identified. …”
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  10. 10
    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals

    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals by Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari

    Published 2022
    “…Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. …”
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  11. 11
    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals

    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals by Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari

    Published 2022
    “…Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. …”
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  12. 12
    An effective islanding detection method for photovoltaic grid connected inverter / Ku Nurul Edhura Ku Ahamad

    An effective islanding detection method for photovoltaic grid connected inverter / Ku Nurul Edhura Ku Ahamad by Ku Nurul Edhura , Ku Ahamad

    Published 2013
    “…The experiment results verified that the proposed anti-islanding detection method is able to detect islanding operation effectively under various load types, inverter output powers and quality factors.…”
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  13. 13
    Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.]

    Spot Filtering Adaptive Thresholding (SFAT) Method for iris pigment spots segmentation approach / Mustafa Man ... [et al.] by Man, Mustafa, Ab Jabal, Mohamad Faizal, Wan Yussof, Wan Nural Jawahir, Hamid, Suhardi, Mohd Rahim, Mohd Shafry

    Published 2018
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  14. 14
    Comparative Analysis of Pneumonia Detection from Chest X-Ray Images Using CNN And Transfer Learning

    Comparative Analysis of Pneumonia Detection from Chest X-Ray Images Using CNN And Transfer Learning by Naveen Kumar, M., Ushasree, ., Che Fuzlina, Fuad

    Published 2024
    “…The most common method for detecting pneumonia is chest X-ray imaging. …”
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  15. 15
    Automatic spinal deformity detection based on neural network

    Automatic spinal deformity detection based on neural network by Kim, Hyoungseop, Ishikawa, Seiji, Khalid, Marzuki, Otsuka, Yoshinori, Shimizu, Hisashi, Nakada, Yasuhiro, Shinomiya, Takasi, Viergever, Max A.

    Published 2003
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  16. 16
    A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm

    A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

    Published 2014
    “…Regression testing is very important activity in software testing. The re-execution of all test cases during regression testing will be costly. …”
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  17. 17
    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues

    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali, Siti Maryamg, Ahmad Kendon, Hajar Fauzan, Ahmad

    Published 2024
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  18. 18
    Automated detection of microaneurysm for fundus images

    Automated detection of microaneurysm for fundus images by Norhasmira, Mohammad, Zaid, Omar, Eko, Supriyanto, Alexander, Dietzel, Jens, Haueisen

    Published 2016
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  19. 19
    2D and 3D video scene text classification

    2D and 3D video scene text classification by Xu, J., Shivakumara, P., Lu, T., Tan, C.L.

    Published 2014
    “…Experimental results on clasifying 2D and 3D text images are promising, and the result re further validated by text detection and recognition before clasification and after clasification with the exiting methods, respectively.…”
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  20. 20
    Regression test case selection & prioritization using dependence graph and genetic algorithm

    Regression test case selection & prioritization using dependence graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

    Published 2014
    “…Unfortunately, it is costly and time consuming to allow for the re-execution of all test cases during regression testing. …”
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