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  1. 1
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…In addition to having all the features of sequential algorithm, this algorithm has far less time complexity and has higher processing speed in voting process in large scale systems. …”
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  2. 2
    E-voting system with physical verification using OTP algorithm / Badrul Amin Mohd Kassim

    E-voting system with physical verification using OTP algorithm / Badrul Amin Mohd Kassim by Mohd Kassim, Badrul Amin

    Published 2021
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  3. 3
    Exact parallel plurality voting algorithm for totally ordered object space fault-tolerant systems

    Exact parallel plurality voting algorithm for totally ordered object space fault-tolerant systems by Karimi, Abbas, Zarafshan, Faraneh, Jantan, Adznan, Ramli, Abdul Rahman, Saripan, M. Iqbal, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2012
    “…To resolve the problem associated with sequential plurality voter in dealing with large number of inputs, this paper introduces a new generation of plurality voter based on parallel algorithms. Since parallel algorithms normally have high processing speed and are especially appropriate for large scale systems, they are therefore used to achieve a new parallel plurality voting algorithm by using (n/log n) processors on EREW shared-memory PRAM. …”
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  4. 4
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  5. 5
    A secure, anonymous and verifiable E-Voting system

    A secure, anonymous and verifiable E-Voting system by Ooi, Elynn

    Published 2020
    “…Furthermore, this paper also proposes a more secure voting system which uses some encryption and hashing algorithms in order to solve the negative impacts of the existing voting systems. …”
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  6. 6
    Secure E-Voting With Blind Signature

    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. E-Voting system employs cryptographic techniques to overcome the security issues in the election process. …”
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  7. 7
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  8. 8
    Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model

    Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model by Noraziah, Ahmad, Wan Maseri, Wan Mohd, Ainul Azila, Che Fauzi

    Published 2015
    “…We address how to build reliable system by using the proposed BVAGQ-AR algorithm for distributed database fragmentation by using Malaysian Greater Research Network (MyGRANTS) data as a case study. …”
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  9. 9
    Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication

    Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication by Noraziah, Ahmad, Ainul Azila, Che Fauzi, Herawan, Tutut, Zailani, Abdullah

    Published 2015
    “…We address how to build reliable systems by using the proposed BVACQ algorithm for distributed database fragmentation by using Malaysian Greater Research Network (MyGRANTS) data in our case study. …”
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  10. 10
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  11. 11
    Extraction of forest plantation extents using majority voting classification fusion algorithm

    Extraction of forest plantation extents using majority voting classification fusion algorithm by Saharkhiz, Maryam Adel, Pradhan, Biswajeet, Rizeei, Hossein Mojaddadi, Mohamed Shariff, Abdul Rashid

    Published 2018
    “…Three different classifiers methods (support vector machine, k-nearest neighborhood, and random forest) were employed and then fused by majority voting algorithm to generate more robust and precise classification result. …”
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  12. 12
    An e-voting application using cryptography technology

    An e-voting application using cryptography technology by Chin, Hsin Tien

    Published 2020
    “…This will ensure that users can achieve the effect of anonymous voting during the voting process, and only the system itself can know. …”
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  13. 13
    A Preliminary Study On Firefly Algorithm Approach For Travelling Salesman Problem

    A Preliminary Study On Firefly Algorithm Approach For Travelling Salesman Problem by Ismail, Mohd Muzafar, Che Hasan, Mohd Hanif, Mohamad @ Ab Rahman, Syahrul Hisham, Jaafar, Hazriq Izzuan

    Published 2013
    “…This paper explores the use of one of swarm intelligence available, Firefly Algorithm in finding the optimal solution of the problem. …”
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  14. 14
    K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm

    K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm by Al-Hafiz, Ali Raheem, Jabir, Adnan J., Subramaniam, Shamala

    Published 2025
    “…From the results, an accuracy of 99% is achieved using the voting ensemble technique with feature selection compared with 77.3% without feature selection. …”
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  15. 15
    Condition diagnosis of bearing system using multiple classifiers of ANNs and adaptive probabilities in genetic algorithms

    Condition diagnosis of bearing system using multiple classifiers of ANNs and adaptive probabilities in genetic algorithms by Wulandhari, Lili A., Wibowo, Antoni, Desa, Mohammad I.

    Published 2014
    “…The mANNs are used to provide several best initial weights which are optimized by APGAs.The set optimized weights from APGAs, afterward, are used as the best weights for condition diagnosis. …”
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  16. 16
    Managing Fragmented Database Replication for Mygrants Using Binary Vote Assignment on Cloud Quorum

    Managing Fragmented Database Replication for Mygrants Using Binary Vote Assignment on Cloud Quorum by Noraziah, Ahmad, Ainul Azila, Che Fauzi, Wan Maseri, Wan Mohd, Mohd Azhar, Mohd Amer, Herawan, Tutut

    Published 2014
    “…In this paper, we will manage fragmented database replication and transaction management for Malaysian Greater Research Network (MyGRANTS) using a new proposed algorithm called Binary Vote Assignment on Cloud Quorum (BVACQ). …”
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  17. 17
    Binary vote assignment on grid quorum replication technique with association rule

    Binary vote assignment on grid quorum replication technique with association rule by Ainul Azila, Che Fauzi

    Published 2018
    “…First step is mining the data by using Apriori algorithm from Association Rules. It is used to discover the correlation between data. …”
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  18. 18
    Dense-cluster based voting approach for license plate identification

    Dense-cluster based voting approach for license plate identification by Asadzadehkaljahi, Maryam, Shivakumara, Palaiahnakote, Roy, Sangheeta, Olatunde, Mojeed Salmon, Anisi, Mohammad Hossein, Lu, Tong, Pal, Umapada

    Published 2018
    “…This paper presents a new method called Dense Cluster based Voting (DCV) for identifying an input license plate image as normal or taxi such that suitable recognition algorithms can be used to achieve better recognition rate. …”
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  19. 19
    TOPSIS-based Regression Algorithms Evaluation

    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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  20. 20
    Genetic ensemble biased ARTMAP method of ECG-Based emotion classification

    Genetic ensemble biased ARTMAP method of ECG-Based emotion classification by Loo, C.K., Liew, W.S., Sayeed, M.S.

    Published 2012
    “…The optimal combination of λ and training sequence can be computed efficiently using a genetic permutation algorithm. The best combinations were selected to train individual ARTMAPs as voting members, and the final class predictions were determined using probabilistic ensemble voting strategy. …”
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