Search Results - (( software rectification using algorithm ) OR ( java application tree algorithm ))

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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
    Graph-based conflict rectification using stroke gesture approach in timetabling system (CORECTS)

    Graph-based conflict rectification using stroke gesture approach in timetabling system (CORECTS) by Yong, Tien Fui, Choo, Wou Onn, Chue, Wen Yeen, Kok, Hui Meian

    Published 2010
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  3. 3
    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING

    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING by K., S. Rama Rao., C. , -K, Chew

    Published 2009
    “…The design and analysis of the converter are performed using software tools within the MATLAB/SIMULINK environment for GA. …”
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  4. 4
    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING

    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING by K.S., Rama Rao, C. K., Chew

    Published 2009
    “…The design and analysis of the converter are performed using software tools within the MATLAB/SIMULINK environment for GA. …”
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  5. 5
    A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application

    A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application by Hamzah, Rostam Affendi, A Aziz, Khairul Azha, M Shokri, Ahmad Sayuthi

    Published 2012
    “…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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  6. 6
    A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation

    A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation by Hamzah, Rostam Affendi, Abd Ghani, SHAMSUL FAKHAR, Kadmin, AHMAD FAUZAN, A Aziz, Khairul Azha

    Published 2012
    “…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software.…”
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  7. 7
    A Pixel Matching Process And Multiples Roi For Stereo Images In Stereo Vision Application

    A Pixel Matching Process And Multiples Roi For Stereo Images In Stereo Vision Application by Hamzah, Rostam Affendi, Salleh, Azahari, A Aziz, Khairul Azha, Mohammed Napiah, Zul Atfyi Fauzan

    Published 2011
    “…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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  8. 8
    Simulation and design of A DC-DC synchronous converter by intelligent optimization techniques

    Simulation and design of A DC-DC synchronous converter by intelligent optimization techniques by K., S. Rama Rao., Chew, Choon-keat

    Published 2010
    “…The design and analysis of the converter with the Genetic Algorithm are performed using software tools within the MATLAB/ SIMULINK environment. …”
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  9. 9
    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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  10. 10
    An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application

    An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application by Hamzah, Rostam Affendi, Hamid, Mohd Saad, Rosly, Hasrul 'Nisham, Hashim, Nik Mohd Zarifie

    Published 2011
    “…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    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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