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Voting algorithms for large scale fault-tolerant systems
Published 2011“…In a nut shell, we tried to introduce voting algorithms and structures suitable for large scale fault-tolerant systems which have optimal and proper time complexity (in parallel voting algorithms) and more reliability and availability (in enhanced m-out-of-n voting algorithm) compared to the basic types.…”
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Ancestral dynamic voting algorithm for mutual exclusion in partitioned distributed systems
Published 2013“…Simulations show that the new algorithm, ancestral dynamic voting algorithm, improves the availability and lifetime of service in faulty environments, regardless of the number of sites and topology of the system. …”
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Exact parallel plurality voting algorithm for totally ordered object space fault-tolerant systems
Published 2012“…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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A secure, anonymous and verifiable E-Voting system
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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Final Year Project / Dissertation / Thesis -
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Sheet C1 Pattern Number Recognition Using Artificial Immune System Optimization
Published 2022“…In order to recognize the numerical patterns on sheet C1, we, therefore, require a method that uses the Artificial Immune System (AIS), specifically the CSA (Clonal Selection Algorithm) algorithm, which is one of the AIS system's algorithms for optimization. …”
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Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
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 -
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Preserving anonymity in eVoting using authentication techniques: a review / Nurain Nabilah Salehuddin, Siti Rahayu Abdul Aziz and Shahadan Saad
Published 2022“…As a result, the primary concentration of this article will be on the problem of maintaining voters' anonymity within electronic voting systems. …”
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Conference or Workshop Item -
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Ant system and weighted voting method for multiple classifier systems
Published 2018“…A diverse classifier ensemble is constructed by training them with different feature set partitions. The ant system-based algorithm is used to form the optimal feature set partitions. …”
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Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model
Published 2015“…This paper propose a new algorithm namely Binary Vote Assignment on Grid Quorum with Association Rule (BVAGQ-AR) in order to handle fragmented database replication. …”
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K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
Published 2025“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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Code-Based Signature Schemes For Online Voting System Based On The Blockchain Technology
Published 2022“…After the construction of these cryptographic primitives, we look into the possibility of implementations of these signature schemes for the online voting system based on the blockchain technology. …”
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Final Year Project / Dissertation / Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Optimal assignments of versions to processors in fault-tolerant computer systems
Published 1988“…When k = 1; a linear assignment problem is obtained. For voting system, k must be at least 2 and, in this case the objective function is non-linear. …”
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Classification of Mental Health Level of Students Using SMOTE and Soft Voting Ensemble Classifier and the DASS-21 Profile
“…This study proposes a comprehensive approach to address the rise in mental health problems among college students. It leverages the Synthetic Minority Over-sampling Technique (SMOTE) to address the class imbalance in the dataset and employs a Voting Ensemble with soft voting to combine several base algorithms (Logistic Regression, Random Forest, Gradient Boosting, and XGBoost/SVM) for accurate prediction of mental health levels (normal, mild, moderate, severe, very severe). …”
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Provider independent cryptographic tools
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Monograph -
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
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An improved multiple classifier combination scheme for pattern classification
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 -
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Rough Set Discretize Classification of Intrusion Detection System
Published 2016“…Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. …”
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