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processing algorithm » processing algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
light processing » signal processing (Expand Search), text processing (Expand Search), melt processing (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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41
The Use of Microwave Tomography in Bone Healing Monitoring
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An enhanced quorum selection algorithm
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An Improved Quorum Selection Algorithm
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47
Correlation Clustering with Overlaps
Published 2020“…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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masterThesis -
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Robust Control Of Sampled Data Systems
Published 2020“…The authors present robust stability bounds for sampled data systems. …”
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Robust control of sampled data systems
Published 1998“…The authors present robust stability bounds for sampled data systems. …”
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Robust Control Of Sampled Data Systems
Published 2020“…The authors present robust stability bounds for sampled data systems. …”
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Robust Control Of Sampled Data Systems
Published 2020“…The authors present robust stability bounds for sampled data systems. …”
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52
Oversampling techniques for imbalanced data in regression
Published 2024“…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”
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Data Redundancy Management in Connected Environments
Published 2020“…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …”
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55
Unsupervised outlier detection in multidimensional data
Published 2022“…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …”
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A kernelization algorithm for d-Hitting Set
Published 2010“…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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57
Graph Contraction for Mapping Data on Parallel Computers
Published 1994“…The mapping solution for the original problem is obtained by a straightforward interpolation. We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …”
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Mapping realistic data sets on parallel computers
Published 1993“…The authors propose reducing the problem size by a mapping-oriented graph contraction technique. They present a graph contraction (GC) heuristic algorithm that yields a smaller representation of the problem, to which mapping is then applied. …”
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59
Scatter Search algorithm for Protein Structure Prediction
Published 2016“…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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Parallel genetic algorithm for disease-gene association
Published 2011“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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