Search Results - (( voting system method algorithm ) OR ( java application optimization algorithm ))
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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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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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Exact parallel plurality voting algorithm for totally ordered object space fault-tolerant systems
Published 2012“…Plurality voter is one of the commonest voting methods for decision making in highly-reliable applications in which the reliability and safety of the system is critical. …”
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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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An e-voting application using cryptography technology
Published 2020“…In addition, the voting network system also allows managers to establish a poll for voting through the network. …”
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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“…The use of an electronic voting system allows voters to cast ballots over a computer network. …”
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Ant system and weighted voting method for multiple classifier systems
Published 2018“…Further more the proposed method can be used to develop other multiple classifier systems.…”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Gradient auto-tuned Takagi-Sugeno Fuzzy Forward control of a HVAC system using predicted mean vote index
Published 2023Subjects:Article -
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University Voting System Using Facial Recognition Technology
Published 2025conference output::conference proceedings::conference paper -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Condition diagnosis of bearing system using multiple classifiers of ANNs and adaptive probabilities in genetic algorithms
Published 2014“…Condition diagnosis in bearing systems needs an effective and precise method to avoid unacceptable consequences from total system failure. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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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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Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
Published 2012“…This study is an attempt to design a method for an autonomous pattern classification and recognition system for emotion recognition. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…All of these approaches attempt to generate diversity in the ensemble.However, classifier ensemble construction still remains a problem because there is no standard guideline in constructing a set of accurate and diverse classifiers. 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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