Search Results - (( developing voting system algorithm ) OR ( java application optimisation algorithm ))

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  1. 1

    A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application by Talib, Hafizah

    Published 2014
    “…In this research, an integrated system of Multi-Layer Perceptron Ensemble (MLPE) consisting of an MLPE and a new voting algorithm has been developed to increase classification accuracy and reduce the number of reject class cases. …”
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    Thesis
  2. 2

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

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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    Article
  3. 3

    Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh. by Omar, Saodah, Isa, Iza Sazanita, Mohd Saleh, Junita

    Published 2010
    “…Therefore, this project intends to investigate the capability of multiple MLP system with majority voting technique. It is a system which consists of all the best-performed MLPs and a single final output from these MLPs is selected by the voting system. …”
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    Research Reports
  4. 4

    Secure E-Voting With Blind Signature by Ibrahim, Subariah, Kamat, Maznah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
    “…We have developed an electronic voting system, E-Voting for a general election. …”
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    Conference or Workshop Item
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    Ant system and weighted voting method for multiple classifier systems by Husin, Abdullah, Ku-Mahamud, Ku Ruhana

    Published 2018
    “…Further more the proposed method can be used to develop other multiple classifier systems.…”
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    Article
  6. 6

    An improved multiple classifier combination scheme for pattern classification by Abdullah,

    Published 2015
    “…In this study, an improved multiple classifier combination scheme is proposed. The ant system (AS) algorithm is used to partition feature set in developing feature subsets which represent the number of classifiers. …”
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    Thesis
  7. 7

    Classification of Mental Health Level of Students Using SMOTE and Soft Voting Ensemble Classifier and the DASS-21 Profile by Muhammad Imron, Rosadi, Khoirun, Nisa, Nanik, Kholifah

    “…These findings support the use of ensemble learning and SMOTE for developing effective college student mental health screening systems, ultimately enabling timely intervention and support…”
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    Article
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    Smart thermal comfort system: a development of the fundamental control algorithm by Abdul Shukor, Shazmin Aniza

    Published 2004
    “…This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. …”
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    Smart thermal comfort system: a development of the fundamental control algorithm by Abdul Shukor, Shazmin Aniza

    Published 2004
    “…This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. …”
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    Thesis
  11. 11

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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    Thesis
  12. 12

    Optimal assignments of versions to processors in fault-tolerant computer systems by Leow, Soo Kar, McAllister, David F.

    Published 1988
    “…This paper addresses the problem of assigning n independently developed version of a program to n different computers to maximize system reliability. …”
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    Article
  13. 13

    TOPSIS-based Regression Algorithms Evaluation by Abu-Shareha, Ahmad Adel

    Published 2022
    “…The results showed that different preferences led to varying algorithm rankings, but top-ranked algorithms were distinguished using a specific dataset. …”
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    Article
  14. 14

    Hotel recommendation system using machine learning by Wong, Wai On

    Published 2025
    “…There are three objectives in the study, which is to perform data preprocessing on the Google Reviews dataset for hotels in Perak using an instant data scraper, to develop three suitable machine learning models on the cleaned dataset and evaluate their performance, and to propose a recommendation system based on the developed machine learning models. …”
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    Final Year Project / Dissertation / Thesis
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    A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

    Published 2016
    “…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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  16. 16

    Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios by MUHAMMAD, SHOAIB, ASAD, ULLAH, Irshad, Ahmed Abbasi, Fahad, Algarni, Adnan Shahid, Khan

    Published 2022
    “…EvoKeyNet utilizes an evolutionary algorithm to select optimal feature attributes, while KFCRNet employs an ensemble of LSTM, Bi-LSTM, and GRU models with a voting scheme. …”
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    Pre-processing strategies for skin detection using MLP by Chelsia Amy Doukim

    Published 2011
    “…These features will be used as inputs to the MLP classifiers. A modified Growing algorithm for finding the number of neurons in the hidden layer of a neural network was also developed it was able to reduce the computational time compared to the conventional Growing algorithm. …”
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    Thesis
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    Developing an ensembled machine learning prediction model for marine fish and aquaculture production by Rahman L.F., Marufuzzaman M., Alam L., Bari M.A., Sumaila U.R., Sidek L.M.

    Published 2023
    “…Finally, an ensemble approach named voting regression combines those three ML models. …”
    Article
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