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  1. 1
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…The low-level features such as edges, blobs, and ridges were extracted for grouping and classification. Object recognition and image classification comes after the wavelet transform. …”
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  2. 2
    Improving Accuracy Metric with Precision and Recall Metrics for Optimizing Stochastic Classifier

    Improving Accuracy Metric with Precision and Recall Metrics for Optimizing Stochastic Classifier by Hossin, M., Sulaiman, M.N, Mustapha, N., Rahmat, R.W

    Published 2011
    “…We refer the new evaluation metric as optimized accuracy with recall-precision (OARP). …”
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  3. 3
    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier

    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…We refer the new evaluation metric as optimized accuracy with recall-precision (OARP). …”
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  4. 4
    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier

    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier by M., Hossin, M.N., Sulaiman, N., Mustpaha, R.W., Rahmat

    Published 2011
    “…In this study, we propose a new evaluation metric that combines accuracy metric with the extended precision and recall metrics to negate these detrimental effects.We refer the new evaluation metric as optimized accuracy with recall-precision (OARP). …”
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  5. 5
    Evaluation of Visual Network Algorithms on Historical Documents

    Evaluation of Visual Network Algorithms on Historical Documents by Khairunnisa, Binti Ibrahim

    Published 2020
    “…Therefore, for a new document, evaluation of algorithms is ineluctable. …”
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  6. 6
    CUDA implementation of fractal image compression

    CUDA implementation of fractal image compression by Al Sideiri A., Alzeidi N., Al Hammoshi M., Chauhan M.S., AlFarsi G.

    Published 2023
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  7. 7
    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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  8. 8
    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm

    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm by Jasem, Hayder Natiq, Ahmad Zulkarnain, Zuriati, Othman, Mohamed, Subramaniam, Shamala

    Published 2011
    “…And also all of the researches for the congestion avoidance algorithms, interest about this parameters metrics to evaluate the performance of the algorithms. …”
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  9. 9
    Validation on an enhanced dendrite cell algorithm using statistical analysis

    Validation on an enhanced dendrite cell algorithm using statistical analysis by Mohamad Mohsin, Mohamad Farhan, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Abd Wahab, Mohd Helmy

    Published 2017
    “…From the evaluation, the new version of dendrite cell algorithm was statistically proven to have improvement with a significant difference compared to its previous versions in all performance metrics.…”
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  10. 10
    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Parallel imaging is a robust method for accelerating the data acquisition in Magnetic Resonance Imaging (MRI). …”
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  11. 11
    A Hybrid Evaluation Metric for Optimizing Classifier

    A Hybrid Evaluation Metric for Optimizing Classifier by Hossin, M., Sulaiman, M.N, Mustapha, A., Mustapha, N., Rahmat, R.W

    Published 2011
    “…In this study, we propose a hybrid evaluation metric, which combines the accuracy metric with the precision and recall metrics. …”
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  12. 12
    A hybrid evaluation metric for optimizing classifier

    A hybrid evaluation metric for optimizing classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Aida, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…In this study, we propose a hybrid evaluation metric, which combines the accuracy metric with the precision and recall metrics. …”
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  13. 13
    Combining deep and handcrafted image features for MRI brain scan classification

    Combining deep and handcrafted image features for MRI brain scan classification by Hasan, Ali M., Jalab, Hamid A., Meziane, Farid, Kahtan, Hasan, Al-Ahmad, Ahmad Salah

    Published 2019
    “…More recently, the application of deep learning algorithms to medical imaging leads to impressive performance enhancements in classifying and diagnosing complicated pathologies, such as brain tumors. …”
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  14. 14
    Scheduling tight deadlines for scientific workflows in the cloud

    Scheduling tight deadlines for scientific workflows in the cloud by Bajaher, Awadh Salem Saleh

    Published 2018
    “…The results show that the PDC performs better in term of success rate metric while the DCCP algorithm has better performance in term of normalized cost metric. …”
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  15. 15
    An intermediate significant bit (ISB) watermarking technique using neural networks

    An intermediate significant bit (ISB) watermarking technique using neural networks by Zeki, A., Abubakar, A., Chiroma, H.

    Published 2016
    “…Many researchers have used these approaches to evaluate their algorithms. These strategies have been used for a long time, however, which unfortunately limits the value of PSNR and NCC in reflecting the strength and weakness of the watermarking algorithms. …”
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  16. 16
    Efficient region of interest based metric learning for effective open world deep face

    Efficient region of interest based metric learning for effective open world deep face by Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdaus, Zainal Abidin, Zulkifli, Nik Hashim, Nik Nur Wahidah, Husman, Muhammad Afif

    Published 2022
    “…To establish the effectiveness, we investigated various threshold finding strategies for five state-of-the-art face recognition algorithms for open world adaptation on different datasets.We also proposed a novel performance evaluation metric for FR algorithms on imbalanced datasets. …”
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  17. 17
    An intermediate significant bit (ISB) watermarking technique using neural networks

    An intermediate significant bit (ISB) watermarking technique using neural networks by Zeki, Akram M., Abubakar, Adamu, Chiroma , Haruna

    Published 2016
    “…Many researchers have used these approaches to evaluate their algorithms. These strategies have been used for a long time, however, which unfortunately limits the value of PSNR and NCC in reflecting the strength and weakness of the watermarking algorithms. …”
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  18. 18
    OAERP : A Better Measure than Accuracy in Discriminating a Better Solution for Stochastic Classification Training

    OAERP : A Better Measure than Accuracy in Discriminating a Better Solution for Stochastic Classification Training by Hossin, M., Sulaiman, M.N, Mustapha, A., Rahmat , R.W

    Published 2011
    “…This new evaluation metric is known as Optimized Accuracy with Extended Recall-precision (OAERP). …”
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  19. 19
    OAERP: a better measure than accuracy in discriminating a better solution for stochastic classification training

    OAERP: a better measure than accuracy in discriminating a better solution for stochastic classification training by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Aida, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…This new evaluation metric is known as Optimized Accuracy with Extended Recall-precision (OAERP). …”
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  20. 20
    Human gait recognition and classification using similarity index for various conditions

    Human gait recognition and classification using similarity index for various conditions by Makhdoomi, Nahid A., Gunawan, Teddy Surya, Habaebi, Mohamed Hadi

    Published 2013
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