Search Results - parallel detection ((clustering algorithm) OR (_ algorithm))

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  1. 1
    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Al-Jumaily A.

    Published 2025
    “…The hybrid algorithm was implemented to minimise the length of time needed to address the massive scale of the detected parallel power load abnormalities. …”
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  2. 2
    Parallelizing Algorithm For Object Recognition Based On Edge Detection On Sunfire Cluster.

    Parallelizing Algorithm For Object Recognition Based On Edge Detection On Sunfire Cluster. by Osman, Mohd Azam, Sanudin, Maziani, Ibrahim, Muhammad Ismail

    Published 2007
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  3. 3
    Parallel algorithms for edge detection on cluster computer

    Parallel algorithms for edge detection on cluster computer by Gunawan, Teddy Surya, Bacar, Elkabir Ansoya

    Published 2011
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  4. 4
    Drone Based Image Processing For Precision Agriculture

    Drone Based Image Processing For Precision Agriculture by Sharif, Muhammad Arif Syafiq Md

    Published 2019
    “…At first, the parallel K-means clustering algorithm was applied on the acquired image to segregate various components acquired using UAV. …”
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  5. 5
    Design and analysis of management platform based on financial big data

    Design and analysis of management platform based on financial big data by Chen, Yuhua, Mustafa, Hasri, Zhang, Xuandong, Liu, Jing

    Published 2023
    “…In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. …”
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  6. 6
    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Therefore, we propose a prominent approach that integrates each of the NN, a meta-heuristic based on an evolutionary genetic algorithm (GA), and a core online-offline clustering (Core). …”
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  7. 7
    Dynamic partitioning and data allocation method on heterogeneous architecture / Muhammad Helmi Rosli

    Dynamic partitioning and data allocation method on heterogeneous architecture / Muhammad Helmi Rosli by Rosli, Muhammad Helmi

    Published 2015
    “…Each experiment highlight the advantages and disadvantages of the experimental architecture.The disadvantages from each experiment prompts the design of dynamic parallel partitioning and allocating framework. The case study use for this experiment is Sobel edge detection algorithm. …”
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  8. 8
    A case study : 2D Vs 3D parallel differential equation toward tumor cell detection on multi-core parallel computing atmosphere

    A case study : 2D Vs 3D parallel differential equation toward tumor cell detection on multi-core parallel computing atmosphere by Islam, Md. Rajibul, Alias, Norma

    Published 2010
    “…With the intention to address such computational challenges; we recognised the particular significance of the iterative solvers and parallel algorithms on Multi-Core parallel computing atmosphere. …”
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  9. 9
    ROBUST SHIP CORROSION DETECTION FRAMEWORK USING CONTOUR INITIALIZATION AND ACTIVE CONTOUR ALGORITHM WITH PARALLEL PROCESSING

    ROBUST SHIP CORROSION DETECTION FRAMEWORK USING CONTOUR INITIALIZATION AND ACTIVE CONTOUR ALGORITHM WITH PARALLEL PROCESSING by MD MAHADI HASAN IMRAN

    Published 2024
    Subjects: “…CORROSION DETECTION…”
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  10. 10
    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer

    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer by Iqbal Basheer, Muhammmad Yunus

    Published 2023
    “…Hence, it is critical for an anomaly detection algorithm to detect data anomalies patterns. …”
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  11. 11
    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…This research addresses these challenges by proposing Enhanced Parallel Deep Learning for Malware Detection and Response (EPDL-MDR). …”
    thesis::doctoral thesis
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  12. 12
    Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems

    Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems by Hnaif, Adnan Ahmad Abdelfattah

    Published 2010
    “…Therefore, the performance of the existing algorithms needs to be improved both in sequential and parallel to enhance the speed of the detection engine used in SNORT-NIDS. …”
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  13. 13
    Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)

    Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) by Alias, Norma, Islam, Md. Rajibul

    Published 2010
    “…The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. …”
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  14. 14
    Hybrid anti-islanding algorithm for utility interconnection of distributed generation

    Hybrid anti-islanding algorithm for utility interconnection of distributed generation by Abdolrasol, M.G.M., Mekhilef, Saad

    Published 2009
    “…This algorithm is based on two detection schemes; namely active and passive. …”
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  15. 15
    Enhanced and effective parallel optical flow method for vehicle detection and tracking

    Enhanced and effective parallel optical flow method for vehicle detection and tracking by Bhaskar, P.K., Yong, S.-P., Jung, L.T.

    Published 2016
    “…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Parallel Optical Flow method based on Lucas-Kanade algorithm. …”
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  16. 16
    Effect Of The Addition Of Wastepaper To Concrete Mix

    Effect Of The Addition Of Wastepaper To Concrete Mix by Shukeri, Ritzawaty Mohamad

    Published 2009
    “…Therefore, the performance of the existing algorithms needs to be improved both in sequential and parallel to enhance the speed of the detection engine used in SNORT-NIDS. …”
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  17. 17
    Development of an automatics parallel parking system for nonholonomic mobile robot

    Development of an automatics parallel parking system for nonholonomic mobile robot by Mohd Fairuz , Abdollah, Syed Najib , Syed Salim, Irma Wani , Jamaludin, Muhammad Nizam , Kamarudin

    Published 2011
    “…The ultrasonic sensor and rotary encoder respectively used to detect parking area and measure the detected space. …”
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  18. 18
    NEUCOMP2 - parallel neural network compiler

    NEUCOMP2 - parallel neural network compiler by Sulaiman, Md. Nasir, Evans, D. J.

    Published 1996
    “…The parallel routine detects the program loops of the sequential version generated by NEUCOMP, undergoing analysis of the data dependences and transforms it into a parallel version. …”
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  19. 19
    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…The first stage is preprocessing procedure that combines the thresholding and filtering algorithm for pre processing the MRI images while the second stage contains two phases of main processing techniques of enhancement and segmentation. …”
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  20. 20
    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…The first stage is preprocessing procedure that combines the thresholding and filtering algorithm for pre processing the MRI images while the second stage contains two phases of main processing techniques of enhancement and segmentation. …”
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