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  1. 1
    Automatic label removal from digitized weld radiographs

    Automatic label removal from digitized weld radiographs by Soo, Say Leong, Ratnam, Mani Maran, Samad, Zahurin, Khalid, Mohd. Ashhar

    Published 2007
    “…Normality test was used to determine if the intensity profile parallel to the weld contains label pixels. …”
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  2. 2
    Extraction and reconstruction of retinal vasculature

    Extraction and reconstruction of retinal vasculature by M.H.A., Fadzil, L.I., Izhar, P.A., Venkatachalam, T.V.N., Karunakar

    Published 2007
    “…This paper presents the development of an image processing algorithm for detecting and reconstructing retinal vasculature. …”
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    Citation Index Journal
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  3. 3
    Development of scalable video compression algorithm

    Development of scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Abomhara, Mohamed

    Published 2011
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  4. 4
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    Conference paper
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  5. 5
    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

    Published 2009
    “…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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  6. 6
    Development of a scalable video compression algorithm

    Development of a scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Olanweraju, Rashidah Funke, Al Khazmi, El Mahdi A

    Published 2012
    “…The result shows that the managed complexity algorithm based on Lagrangian Multiplier function outperforms the normal encoder. …”
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    Proceeding Paper
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  7. 7
    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…Over the last decade, many algorithms have been developed to address this problem. …”
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    Thesis
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  8. 8
    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
    “…Traditional methods often rely on expert visual assessments, which are labour-intensive, subjective, and time-consuming. The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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  9. 9
    Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman.

    Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman. by Sulaiman, Fuziah

    Published 2006
    “…The switch used Fuzzy Logic Control Algorithm for automated lighting and dimming control. …”
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  10. 10
    Monitoring And Fault Diagnosis Of Electrical Installation Using Thermal Imaging

    Monitoring And Fault Diagnosis Of Electrical Installation Using Thermal Imaging by Tiong, King Hock

    Published 2018
    “…MATLAB is chosen as a platform to develop the algorithm to process the infrared image. …”
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    Monograph
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  11. 11
    Modelling of geometric correction and relative radiometric normalization for near equatorial earth observation satellite images

    Modelling of geometric correction and relative radiometric normalization for near equatorial earth observation satellite images by Al-Razzaq Abd, Hayder Abd

    Published 2015
    “…The research aims is study the near equatorial satellite images and develop models that can overcome the difficulties that facing processing of near equatorial satellite imagery as follow: (1) To develop band to band registration model for near equatorial image, to overcome the highly nonlinear band shifting of the near equatorial image bands. (2) To develop geometric correction model for near equatorial images, to reduce the highly geometric correction between the near equatorial imagery. (3) To design and implement remote sensing goniometer to simulate NEqO system images, to simulate the near equatorial satellite image. (4) To develop relative radiometric normalization model for NEqO images, to normalize the near equatorial images that have been captured at different time. …”
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  12. 12
    Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques

    Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques by Sharuddin, Nur Amirah Atikah

    Published 2025
    “…This study investigates the application of machine learning algorithms for the detection of ischemic stroke using CT brain images. …”
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  13. 13
    Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images

    Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

    Published 2016
    “…Results: The performance of the developed framework is evaluated based on various measurement metrics. …”
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  14. 14
    Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images

    Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

    Published 2016
    “…Results: The performance of the developed framework is evaluated based on various measurement metrics. …”
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  15. 15
    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali

    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

    Published 2015
    “…Therefore, another segmentation method has been developed to address the problem. The new method, named as Adaptive K-means, is developed based on clustering approach. …”
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  16. 16
    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures

    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

    Published 2020
    “…Creating efficient representations from large volumes of network traffic to develop anomaly detection models is a time and resource intensive task. …”
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  17. 17
    The use of an improved technique to reduce the variability of output voltage in real-time Fibre Bragg Grating based monitoring system

    The use of an improved technique to reduce the variability of output voltage in real-time Fibre Bragg Grating based monitoring system by Vorathin, E., Z. M., Hafizi, S. A., Che Ghani, Lim, Kok Sing, A. M., Aizzuddin

    Published 2017
    “…Thus, the designation of this experimental work is to develop a robust FBG real-time monitoring system with the benefit of MATLAB graphical user interface (GUI) and voltage normalization algorithm to scale down the voltage inconsistency. …”
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    Conference or Workshop Item
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  18. 18
    Blotch removal using multi-level scanning, shape analysis, and meta heuristic techniques

    Blotch removal using multi-level scanning, shape analysis, and meta heuristic techniques by Khammar, Mohammad Reza

    Published 2015
    “…Valuable resources of artistic, historical, and cultural development of human life are stored in huge number of archives. …”
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  19. 19
    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques

    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

    Published 2007
    “…The models were trained with normalized and non-normalized data. The selected ANFIS model was trained with normalized data with 6 Gaussian membership functions for each of 9 inputs and 6 rules. …”
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  20. 20
    Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification

    Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

    Published 2023
    “…We develop and train a CNN on the processed image data, implementing dropout, batch normalization, and L2 regularization to reduce overfitting. …”
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