Search Results - (( program among normalization algorithm ) OR ( java data normalization algorithm ))

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  1. 1
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…Even a normal people using clustering to grouping their data. …”
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  2. 2
    SANAsms: Secure short messaging system for secure GSM mobile communication

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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  3. 3
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  4. 4
    Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones

    Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones by Mansor M.H., Musirin I., Othman M.M.

    Published 2023
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  5. 5
    Challenges of hidden data in the unused area two within executable files

    Challenges of hidden data in the unused area two within executable files by Naji, Ahmed Wathik, Zaidan, A.A., Zaidan, B.B.

    Published 2009
    “…The designed algorithms were intended to help in proposed system aim to hide and retract information (data file) with in unused area 2 of any execution file(exe.file). …”
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  6. 6
    Neural network based model predictive control for a steel pickling process

    Neural network based model predictive control for a steel pickling process by Kittisupakorn, P., Thitiyasook, P., Hussain, Mohd Azlan, Daosud, W.

    Published 2009
    “…The baths exhibit the normal features of an industrial system such as nonlinear dynamics and multi-effects among variables. …”
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  7. 7
    Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat

    Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat by Muhamud @ Kayat, Suzilawati

    Published 2008
    “…FFT analysis and Hilbert transformation were used to extract information embedded in both cry signals Algorithms and programming utilizing MATLAB R2007b were written to search for the fundamental frequency of each cry signal and to identify the type of signal uniquely according to its fundamental frequency. …”
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  8. 8
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…Two sets of experimental data involving 20 diabetic patients and 20 healthy subjects were collected from CITO laboratory Semarang Central Java, Indonesia. …”
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  9. 9
    Heartbeat disease diagnosis using text-based approaches

    Heartbeat disease diagnosis using text-based approaches by Khorasani, Ehsan Safar

    Published 2011
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  10. 10
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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  11. 11
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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  12. 12
    Anomaly gait detection in children with autism spectrum disorder based on markerless-model approach / Nur Khalidah Zakaria

    Anomaly gait detection in children with autism spectrum disorder based on markerless-model approach / Nur Khalidah Zakaria by Zakaria, Nur Khalidah

    Published 2020
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  13. 13
    Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection

    Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection by Eustacius Jude, Anak Joseph Linggong

    Published 2019
    “…Brain tumour is among the deadliest disease that is fatal if left untreated. …”
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  14. 14
    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
    “…Then, Cronbach’s alpha, mean score ranking, normalization value, and agreement analysis were carried in the data analysis phase. …”
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  15. 15
    A multi-filter feature selection in detecting distributed denial-of-service attack

    A multi-filter feature selection in detecting distributed denial-of-service attack by Yon, Yi Jun, Leau, Yu-Beng, Suraya Alias, Park, Yong Jin

    Published 2019
    “…Flash crowd attack is the most challenging problem among the attacks which targeting the web server during the Flash Events (FEs). …”
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