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Variable Selection in Data Analysis: A Synthetic Data Toolkit
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
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Security testing and evaluation of cryptography algorithms. (c2003)
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An enhanced quorum selection algorithm
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An Improved Quorum Selection Algorithm
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A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group
Published 2023“…<p dir="ltr">There is a need of secure and robust encryption algorithm that can be implemented on each and diverse software and hardware platforms. …”
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Hardening the ElGamal cryptosystem in the setting of the second group of units. (c2011)
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masterThesis -
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An improved quorum selection algorithm (IQSA). (c2007)
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masterThesis -
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Axes-Based Encryption Key
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Scrambled Prime Key Encryption
Published 2018“…To enhance data security different cryptographic algorithms are used. …”
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Data mining approach to predict student's selection of program majors
Published 2019“…There is an opportunity to apply data mining to arrive at a model to predict student selection of a major. …”
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A genetic algorithm for testable data path synthesis
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Nested ensemble selection: An effective hybrid feature selection method
Published 2023“…The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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Multi-marker-LD based genetic algorithm for tag SNP selection
Published 2014“…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…”
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Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
Published 2022Subjects: -
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …”
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