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Recovery of business intelligence systems
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Determining Dominant Wind Directions
Published 2020“…Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. …”
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A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …”
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Machine Learning Techniques for Pharmaceutical Bioinformatics
Published 2018“…In this matrix, each drug is represented by a vector of attributes from all other drugs. …”
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Dynamic single node failure recovery in distributed storage systems
Published 2017“…We then address three practical extensions that respectively account for newly arriving blocks, newly arriving nodes and variable priority files. A re-optimization mechanism for the storage allocation matrix is proposed for the first two extensions that can be easily implemented in real time without the need to redistribute original on-node blocks. …”
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Data mining approach to predict student's selection of program majors
Published 2019“…Balanced sampling, SMOTE – oversampling of minority classes is used to compare results using the confusion matrix, F1-score and the balanced accuracy. Cross validation is applied to train and test performance of models. …”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
Published 2021“…A bagged Clustering algorithm was employed to identify the number of clusters, then the C-Means algorithm and the Pamk algorithm were implemented to validate the results. …”
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An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems
Published 2017“…The technique is complemented with a splitting algorithm to alleviate the hurdle of solving an arising semidense matrix system. …”
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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
Published 2008“…The complexity is the same as for classical algorithms, but an improved convergence rate, a reduced size of the problem and a sparse Jacobian matrix are obtained. …”
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On the complexity of bilinear computations
Published 1984“…We will also consider special classes of three bilinear forms, and efficient algorithms will be developed, which are optimal in most cases.…”
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A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
Published 2024“…This study aims to bridge this gap by comprehensively reviewing ML concepts, approach, and algorithms in the <u>membrane separation</u> sector. …”
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Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia
Published 2023“…Gene Ontology (GO) and pathway analysis of dementia-associated proteins implicated immune response, vascular injury, and extracellular matrix organization pathways in dementia pathogenesis. …”