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  1. 1
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  4. 4
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  5. 5
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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  6. 6
    Wi-fi fingerprint database construction using Chebyshev wavelet functions

    Wi-fi fingerprint database construction using Chebyshev wavelet functions by Narzullaev, Anvar, Nemadaliev, Azamjon, Selamat, Mohd Hasan, Othman, Mohamed, Sharif, Khaironi Yatim

    Published 2015
    “…Next, the collected reference samples are used to construct area specific path-loss prediction function using Chebyshev wavelets. …”
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  7. 7
    Development of automatic pest sampling and detection system for cash crops

    Development of automatic pest sampling and detection system for cash crops by Hadi, Mustafa Kareem

    Published 2019
    “…Different kernel functions such as disk, diamond, square, and sphere are used as matching functions for insect detection and counting algorithm. …”
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  8. 8
    Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network

    Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network by Ismail Abdullah, Kalid Abdlkader Marsal

    Published 2024
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  9. 9
    Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm

    Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm by Fakharudin, Abdul Sahli

    Published 2017
    “…Thirteen samples were used for training (70%) and six samples were used for testing (30%). …”
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  10. 10
    AI powered asthma prediction towards treatment formulation: an android app approach

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  11. 11
    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System

    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System by Wong, Ze-Hao

    Published 2020
    “…Then, the histogram distance function for each location is computed using a pseudo-probability combination of novel histogram distance functions on a clustered histogram. …”
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  12. 12
    An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition

    An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition by Mohd. Hasbullah, Omar

    Published 2011
    “…In contrary, fewer numbers of samples used would result in less accuracy, but faster execution time. …”
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  13. 13
    AI powered asthma prediction towards treatment formulation : An android app approach

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  14. 14
    Enhancement of Over-Exposed and Under-Exposed Images Using Hybrid Gamma Error Correction Sigmoid Function

    Enhancement of Over-Exposed and Under-Exposed Images Using Hybrid Gamma Error Correction Sigmoid Function by Mohd Azau, Mohd Azrin

    Published 2007
    “…The sample images are taken using different type of cameras transformed to grayscaled input images. …”
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  15. 15
    Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis

    Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis by Janahiraman T.V., Omar J., Farukh H.N.

    Published 2023
    “…This situation is often referred as "small sample size" (SSS) problem. Moreover, FLD is a linear algorithm by nature. …”
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  16. 16
    Design of a flexible digital baseband signal processing algorithm

    Design of a flexible digital baseband signal processing algorithm by Mohamad, Rosalina, Harun, Harlisya, Nuzli, Mohamad Anas, Dimyati, Kaharudin

    Published 2006
    “…In this paper, we show how we solved the problem by satisfying several requirements simultaneously: 1) removing loop or complicated algorithm in DBSP functions with flexible DBSP algorithm 2) using DSP-BIOS Scheduling module to increase performance and make sure our sample data are in packed. …”
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  17. 17
    Feature fusion using a modified genetic algorithm for face and signature recognition system

    Feature fusion using a modified genetic algorithm for face and signature recognition system by Suryanti, Awang

    Published 2015
    “…Therefore, the accuracy performance of this system based on the fitness function that will rely on the percentage of correctly recognized samples and the balanced of selected features. …”
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  18. 18
    A comparative study of pitch detection algorithms for microcontroller based voice pitch detector

    A comparative study of pitch detection algorithms for microcontroller based voice pitch detector by Nuraina Suryani binti Ruslan, Mazlina Mamat, Rosalyn R. Porle, Norfarariyanti Parimon

    Published 2017
    “…The performance of both algorithms was analyzed using 288 speech samples recorded from 24 students in both quiet and noisy environments. …”
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  19. 19
    Integrated Features by Administering the Support Vector Machine of Translational Initiations Sites in Alternative Polymorphic Context

    Integrated Features by Administering the Support Vector Machine of Translational Initiations Sites in Alternative Polymorphic Context by Nanna Suryana, Herman, Burairah, Hussin

    Published 2012
    “…The applied discriminative approach is used to learn about some discriminant functions of samples that have been labelled as positive or negative. …”
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  20. 20
    Genetic algorithm techniques for the design of nonlinear microwave circuits

    Genetic algorithm techniques for the design of nonlinear microwave circuits by Arsat, Rashidah

    Published 2004
    “…In this report a hybrid method of Sample Balance Genetic Algorithm (SBGA) used to analyze nonlinear diode excited by RF circuit. …”
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