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  1. 1
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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  2. 2
    An Information Retrieval Algorithm to Extract Influential Factors

    An Information Retrieval Algorithm to Extract Influential Factors by Nabilah Filzah, Mohd Radzuan

    Published 2012
    “…The aim of the study is to develop an algorithm that can extract a minimum set of factors that can be used to assess companies’ performances. …”
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  3. 3
    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu

    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

    Published 2005
    “…Images that capture using digital camera will perform through the algorithm to classified images. …”
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  4. 4
    Developing and validating a simulation model for counting and classification of vehicles

    Developing and validating a simulation model for counting and classification of vehicles by Ali Emad Jehad, Riza Atiq O.K. Rahmat

    Published 2016
    “…An algorithm system approach has been presented for extracting traffic data using video image processing. …”
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  5. 5
    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail

    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail by Ismail, Najihah

    Published 2021
    “…Moreover, the capability of the programming based using python for building extraction can be assessed. …”
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  6. 6
    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin

    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin by Latiffah, A. Noor, Nordin, A. B.

    Published 2006
    “…This project, wilt extract some useful financial knowledge from the Syariah Index data of Kuala Lumpur Syariah Index (KLSI). …”
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  7. 7
    Logic Programming In Radial Basis Function Neural Networks

    Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

    Published 2013
    “…I used different types of optimization algorithms to improve the performance of the neural networks. …”
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  8. 8
    Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin

    Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin by Shamsudin, Farah Syadiyah

    Published 2017
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  9. 9
    Software Classification Using Structure-Based Descriptors

    Software Classification Using Structure-Based Descriptors by Ramadan, Qusai Hussein

    Published 2009
    “…This work includes the use of structure information contained in source code programs to automate program classification. …”
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  10. 10
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
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  11. 11
    Classification of students' performance in computer programming course according to learning style

    Classification of students' performance in computer programming course according to learning style by Norwawi N.M., Abdusalam S.F., Hibadullah C.F., Shuaibu B.M.

    Published 2024
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  12. 12
    Melanoma skin cancer recognition using negative selection algorithm / Muhammad Rushamir Hakimi Ruslan

    Melanoma skin cancer recognition using negative selection algorithm / Muhammad Rushamir Hakimi Ruslan by Ruslan, Muhammad Rushamir Hakimi

    Published 2017
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  13. 13
    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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  14. 14
    Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition

    Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition by Reyfill Konnik, Charlie Ivan

    Published 2014
    “…This algorithm is designed using an iterative design model, whereby the program is continually tested and improved. …”
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  15. 15
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
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  16. 16
    Pattern extraction for programming performance evaluation using directed apriori

    Pattern extraction for programming performance evaluation using directed apriori by Mohamad Mohsin, Mohamad Farhan, Zaiyadi, Mohd Fairuz, Md Norwawi, Norita, Abd Wahab, Mohd Helmy

    Published 2009
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  17. 17
    Extracting Tweets Using R in The Context of Ethical Issues

    Extracting Tweets Using R in The Context of Ethical Issues by Mohamed Najid, Mohamad Hafizuddin, Zulkifli, Zahidah, Othman, Roslina, Rokis, Rohaiza

    Published 2021
    “…The simple algorithm is capable to facilitating the process of extracting data from Twitter, such that it easily known to the public tweets that exist in a given time period and this can be used as reference material for further development process. …”
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  18. 18
    Classification of Students' Performance in Computer Programming Course According to Learning Style

    Classification of Students' Performance in Computer Programming Course According to Learning Style by Norwawi, NM, Abdusalam, SF, Hibadullah, CF, Shuaibu, BM

    Published 2024
    “…Previous studies examined some of the variables influencing students' performance using statistical data analysis. The critical point of this study is the use of classification algorithm to extract patterns which are examined from the cognitive factor specific learning style. …”
    Proceedings Paper
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  19. 19
    Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin

    Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin by Sariff, Nohaidda, Buniyamin, Norlida

    Published 2010
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  20. 20
    Classification of machine learning engines using latent semantic indexing

    Classification of machine learning engines using latent semantic indexing by Yusof, Yuhanis, Alhersh, Taha, Mahmuddin, Massudi, Mohamed Din, Aniza

    Published 2012
    “…Functional descriptors of each program are identified by extracting terms contained in the source code.In addition, information on where the terms are extracted from is also incorporated in the LSI.Based on the undertaken experiment, the LSI classifier is noted to generate a higher precision and recall compared to the C4.5 algorithm as provided in the Weka tool.…”
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