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  1. 1
    Parallel visualization approach of a 3D heart model

    Parallel visualization approach of a 3D heart model by Malekpour, A., Ling, T.C., Lim, W.C.

    Published 2008
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  2. 2
    Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems

    Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems by Talebpour, Faraz

    Published 2016
    “…Offline on the other hand, is a mode where adaptive algorithms cannot estimate the imperfections in parallel with the transmission. …”
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  3. 3
    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid

    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid by Khalid, Nurul Syafiqah

    Published 2020
    “…Therefore, the final output of tree crown shows the watershed transformation algorithm is the best method for use represented oil palm tree counting in the map which is the accuracy assessment is 38.9%.…”
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  4. 4
    Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data

    Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data by Marghany, Maged, Cracknell, Arthur P., Hashim, Mazlan

    Published 2008
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  5. 5
    APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS

    APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS by NASHRULADIN, KHAIRUN NISA'

    Published 2007
    “…While, heuristic method of Genetic Algorithm is used to locate the optimal values to enhance the accuracy of fault detection. …”
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  6. 6
    Artificial neural networks and genetic algorithm for transformer winding/insulation faults

    Artificial neural networks and genetic algorithm for transformer winding/insulation faults by K.S.R., Rao, K.N., Nashruladin

    Published 2008
    “…The dissolved gas in oil analysis method is known to be an early fault detection method and enables to carry out diagnosis during online operation of the transformer. …”
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  7. 7
    Oil spill detection and characterization from satellite image using artificial neural network algorithm

    Oil spill detection and characterization from satellite image using artificial neural network algorithm by Ridha, S., Wardaya, P.D.

    Published 2014
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  8. 8
    Young and mature oil palm tree detection and counting using convolutional neural network deep learning method

    Young and mature oil palm tree detection and counting using convolutional neural network deep learning method by Abd Mubin, Nurulain, Nadarajoo, Eiswary, Mohd Shafri, Helmi Zulhaidi, Hamedianfar, Alireza

    Published 2019
    “…Detection and counting of oil palm are important in oil palm plantation management. …”
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  9. 9
    Automatic detection of oil palm tree from UAV images based on the deep learning method

    Automatic detection of oil palm tree from UAV images based on the deep learning method by Xinni, Liu, Kamarul Hawari, Ghazali, Fengrong, Han, Izzeldin, I. Mohd

    Published 2021
    “…The results show that the proposed method is more effective, accurate detection, and correctly counts the number of oil palm trees from the UAV images.…”
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  10. 10
    Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR

    Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
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  11. 11
    Image Based Oil Palm Tree Crowns Detection

    Image Based Oil Palm Tree Crowns Detection by Muhammad Afif Zakwan, Zaili

    Published 2020
    “…Image Based Oil Palm Tree Crowns Detection system is a basic system that enables the detection of oil palm tree crowns from red, green and blue (RGB) aerial images. …”
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  12. 12
    Oil palm tree detection and counting in aerial images based on faster R-CNN

    Oil palm tree detection and counting in aerial images based on faster R-CNN by Xinni, Liu, Kamarul Hawari, Ghazali, Fengrong, Han, Izzeldin, I. Mohd, Yue, Zhao, Yuanfa, Ji

    Published 2020
    “…In this paper, we propose an oil palm tree detection and counting method based on the Faster Regions with Convolutional Neural Network algorithm (Faster R-CNN). …”
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  13. 13
    Terahertz sensing analysis for early detection of ganoderma boninense disease using near infrared (NIR) spectrometer

    Terahertz sensing analysis for early detection of ganoderma boninense disease using near infrared (NIR) spectrometer by Mas Ira Syafila, Mohd Hilmi Tan

    Published 2023
    “…The non-destructive method using NIRS with ML and predictive analytics has the potential to be a highly sensitive and reliable method for the early detection of G. boninense. …”
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  14. 14
    Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi

    Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi by Hosseiny Fatemi, Mohammad Reza

    Published 2012
    “…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
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  15. 15
    Early detection of breast cancer using wave elliptic equation with high performance computing

    Early detection of breast cancer using wave elliptic equation with high performance computing by Alias, Norma, Rosly, Nur Syazana, Satam, Noriza, A. Ghaffar, Zarith Safiza, Islam, Md. Rajibul

    Published 2008
    “…This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). …”
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  16. 16
    Enhanced faster region-based convolutional neural network for oil palm tree detection

    Enhanced faster region-based convolutional neural network for oil palm tree detection by Liu, Xinni

    Published 2021
    “…This study proposed a new deep learning method based on Faster RCNN for oil palm tree detection and counting. …”
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  17. 17
    DEVELOPMENT OF NON-INVASIVE ULTRA-WIDEBAND ANTENNA ARRAY SENSORS FOR OIL PALM TRUNK HOLLOW DETECTION

    DEVELOPMENT OF NON-INVASIVE ULTRA-WIDEBAND ANTENNA ARRAY SENSORS FOR OIL PALM TRUNK HOLLOW DETECTION by SAEIDI, TALE

    Published 2021
    “…The proposed method is using MWI, with novel elliptical ultra-wideband (UWB) antenna, and robust time reversal (RTR) algorithm that offers the completed information about the dielectric properties of the oil palm trunk (OPT) applying for image reconstruction. …”
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  18. 18
    FT-IR absorbance data for early detection of oil palm fungal disease infestation

    FT-IR absorbance data for early detection of oil palm fungal disease infestation by Liaghat, Shohreh, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi, Meon, Sariah, Ehsani, Reza, Md Nor Azam, Siti Hajar

    Published 2012
    “…At present study, we propose to apply a mid-infrared spectroscopy technique for detection of infected oil palm trees at three stages of infection. …”
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  19. 19
    Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment

    Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment by Yekeen, S.T., Balogun, A.-L.

    Published 2020
    “…To date, different methods have been applied to distinguish oil spills from lookalikes with limited success. …”
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  20. 20
    Extreme air pollutant data analysis using classical and Bayesian approaches

    Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

    Published 2015
    “…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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