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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM
Published 2020“…Experimental results show that the new algorithms are faster and lead to computational savings.…”
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A new approach to record clustering for large databases. (c1997)
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CNN and HEVC Video Coding Features for Static Video Summarization
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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Automatic Video Summarization Using HEVC and CNN Features
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Correlation Clustering with Overlaps
Published 2020“…In our experimental analysis, we study the efficiency of our algorithms as well as the effectiveness of allowing vertex splitting. …”
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Stochastic evolution algorithm for technology mapping
Published 1998“…Experimental results show that SELF-Map has an overall better performance compared to other algorithms reported in the literature…”
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Bee Colony Algorithm for Proctors Assignment.
Published 2015“…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …”
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Kernelization algorithms for the vertex cover problem
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Incremental & classical genetic algorithm. (c2001)
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Adaptive bias simulated evolution algorithm for placement
Published 2001“…Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. A new solution is evolved from current solution by relocating some of the solution elements. …”
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New primitives to AOP weaving capabilities for security hardening concerns
Published 2007“…Moreover, we show the viability and correctness of our proposed primitives by elaborating their algorithms and presenting experimental results.…”
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A Scatter search algorithm for exam scheduling. (c2006)
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masterThesis