Search Results - (( data reduction methods algorithm ) OR ( data normalization based algorithm ))

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  1. 1
    Optimizing lossless compression by normalized data length in Huffman Algorithm

    Optimizing lossless compression by normalized data length in Huffman Algorithm by Tonny, Hidayat

    Published 2022
    “…It is also expected that this new algorithm scheme may potentially work well on data above 16-bit for future research.…”
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  2. 2
    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah

    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah by Abdullah, Siti Muniroh

    Published 2017
    “…Additionally, the PSO algorithm was found to improve the correlation tests (reduction in correlation violation 22.22% in DCM NARX, 1.89% in FRA NARMAX and 10.46% in MG NARMA experiment) relative to the LLS algorithms.…”
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  3. 3
    Efficient hybrid reduction for binary based information system in soft set theory

    Efficient hybrid reduction for binary based information system in soft set theory by Mohd Rose, Ahmad Nazari

    Published 2016
    “…With SRR (Soft Set Rough Reduction) and Parameter Reduction (PR) being ineffective with respect to consistency and accuracy, further analysis on the data size achieved by HRSS and Normal Parameter Reduction (NPR) were then considered. …”
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  4. 4
    Classification of SNPs for obesity analysis using FARNeM modelling

    Classification of SNPs for obesity analysis using FARNeM modelling by Ong, Phaik Ling, Choo, Yun Huoy, Emran, Nurul Akmar

    Published 2013
    “…But, FARNeM did not achieve good reduction rate when applied to the experimental data set. …”
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  5. 5
    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
    “…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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  6. 6
    Out-of-core simplification with appearance preservation for computer game applications

    Out-of-core simplification with appearance preservation for computer game applications by Tan, Kim Heok

    Published 2006
    “…Drastic growth in computer simulations complexity and 3D scanning technology has boosted the size of geometry data sets. Before this, conventional (incore) simplification techniques are sufficient in data reduction to accelerate graphics rendering. …”
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  7. 7
    Out-of-core simplification with appearance preservation for computer game applications

    Out-of-core simplification with appearance preservation for computer game applications by Bade, Abdullah, Daman, Daut, Sunar, Mohd. Shahrizal, Tan , Kim Heok

    Published 2006
    “…Drastic growth in computer simulations complexity and 3D scanning technology has boosted the size of geometry data sets. Before this, conventional (in-core) simplification techniques are sufficient in data reduction to accelerate graphics rendering. …”
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  8. 8
    The development of level of detail (LOD) technique in 3D computer graphics application

    The development of level of detail (LOD) technique in 3D computer graphics application by Ismail, Nor Anita Fairos, Daman, Daut, Mohd. Rahim, Mohd. Shafry

    Published 2009
    “…Drastic growth in computer simulation complexity and 3D scanning technology has boosted the size of geometry data sets used in visualization. Conventional (in-core) simplification techniques are sufficient in data reduction to accelerate graphics rendering. …”
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  9. 9
    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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  10. 10
    A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum

    A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum by Mohd Shafri, Helmi Zulhaidi, Ebadi, Ladan

    Published 2015
    “…Additionally, hyperspectral signals are usually studied using the derivative analysis method that is very sensitive to noise in the data. This study investigates denoising of the hyperspectral vegetation spectrum using different wavelet-based methods. …”
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  11. 11
    Self routing traffic light for traffic light controller using priority method based on volume of vehicles

    Self routing traffic light for traffic light controller using priority method based on volume of vehicles by Tan, Swee Tiang

    Published 2015
    “…Normally, there are two methods used to control the conventional traffic light system which are sequencing and sensor demand methods. …”
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  12. 12
    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method

    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

    Published 2016
    “…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. Afterward, the proposed solving methods are verified using 17 data sets from the literature and results are analyzed. …”
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  13. 13
    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images

    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images by Farzan, Ali

    Published 2015
    “…So, a rank based feature selection algorithm is proposed to address these issues. …”
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  14. 14
    Development of a registration framework for echocardiography and computed tomography cardiovascular image fusion / Azira Khalil

    Development of a registration framework for echocardiography and computed tomography cardiovascular image fusion / Azira Khalil by Azira, Khalil

    Published 2018
    “…For the spatial registration, an intensity-based normalized mutual information (NMI) method is applied with pattern search optimization algorithm to produce an interpolated cardiac CT image. …”
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  15. 15
    An enhanced gated recurrent unit with auto-encoder for solving text classification problems

    An enhanced gated recurrent unit with auto-encoder for solving text classification problems by Zulqarnain, Muhammad

    Published 2020
    “…The first drawback is the failure in data dimensionality reduction, which leads to low quality solution for the classification problems. …”
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  16. 16
    Analyzing the cost-effectiveness of enhancement approaches for rehabilitating water distribution network

    Analyzing the cost-effectiveness of enhancement approaches for rehabilitating water distribution network by Abdel Rahman Mohamed Ismail, Farouk Abdel Mageed Rady

    Published 2021
    “…The results show that cost-effective enhancement approaches are programming, models, supervisory control and data acquisition (SCADA), and twin digital. Additionally, the data from Malaysia suggest two more cost-effective enhancement approaches: zoning network and genetic algorithm. …”
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  17. 17
    Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO

    Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO by Sharifah Sakinah, Syed Ahmad

    Published 2014
    “…The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. …”
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  18. 18
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
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  19. 19
    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction

    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

    Published 2024
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  20. 20
    Real-time time series error-based data reduction for internet-of-things applications

    Real-time time series error-based data reduction for internet-of-things applications by Wong, Siaw Ling

    Published 2018
    “…There are many time series data reduction methods, ranging from primitive data aggregation such as Rate of Change to sophisticated compression algorithms. …”
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