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Usability heuristics for fast crime data anonymization in resource-constrained contexts
Published 2018“…The second step proposes a streaming data anonymization algorithm, which analyses reported data based on occurrence rate rather than at a preset time on a static repository. …”
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Fast Mesh-based physical optics for large-scale electromagnetic analysis
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Decoding algorithms for continuous phase modulation
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A qualitative model of evolutionary algorithms
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Visual hulls for volume estimation : a fast marching cubes based approach
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Fast and Accurate Automatic Design of Spiral Inductors from High-Level Specification
Published 2024“…A further approach that has been extensively emerging recently is undergoing optimization algorithms, such as sequential quadratic programming, simulated annealing, artificial neural network, genetic algorithms… etc. …”
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Development of a FEM waveguide code, incorporating Fast Frequency Techniques, for numerical synthesis
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Time domain synthetic aperture radar image processing using fast factorised backprojection
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GAdaboost: Accelerating adaboost feature selection with genetic algorithms
Published 2016“…Feature Selection has proven its success in providing fast and accurate classifiers. Wrapper methods harvest the power of evolutionary computing, most commonly Genetic Algorithms, in finding the set of representative features. …”
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Design of power system stabilizers using evolutionary algorithms
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Evaluation of selected subspace tracking algorithms for direction finding
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Metrics to evaluate compressions algorithms for RAW SAR data
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Metrics to evaluate compressions algorithms for RAW SAR data
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A performance analysis of delta and huffman compression algorithms
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Extensions to the ant-miner classification rule discovery algorithm
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Application of evolutionary algorithms for optimal directional overcurrent relay coordination
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Evaluation of speaker adaptation algorithms for public access IVR server
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The Effect of Dataset Size on the Performance of Classification Algorithms for Credit Scoring
Published 2023“…With the rise of machine learning techniques spurred on by fast, cheap computing and the generation and collection of massive datasets, there has been a great deal of research benchmarking the performance of these powerful machine learning algorithms against traditional techniques used in credit scoring. …”
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