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Published in 2021 at "Journal of Modelling in Management"
DOI: 10.1108/jm2-11-2020-0289
Abstract: Purpose This purpose of this study is to structure complex problems to be solved with greater efficiency, optimising the relationship between root causes (RC) relevance of the problem and utilisation of human resources to treat…
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Keywords:
human resources;
problem;
relevance;
approach ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3153034
Abstract: In this work, the hierarchic multiresolution (MR) preconditioner is combined with the multilevel fast multipole algorithm-fast Fourier transform (MLFMA-FFT) and efficiently parallelized in multicore computers for computing electromagnetic scattering and radiation from complex problems exhibiting…
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Keywords:
multi scale;
realistic multi;
scale;
complex problems ... See more keywords
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Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3237667
Abstract: K-means is a fundamental clustering algorithm widely used in both academic and industrial applications. Its popularity can be attributed to its simplicity and efficiency. Studies show the equivalence of K-means to principal component analysis, non-negative…
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Keywords:
transforming complex;
complex problems;
means solutions;
problems means ... See more keywords
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Published in 2018 at "Izvestiya, Physics of the Solid Earth"
DOI: 10.1134/s1069351318040043
Abstract: The airborne gravity measurements both in Russia and abroad widely use the GT-2A aerogravimetric complex. This complex has a number of benefits but suffers from a serious limitation: in high latitudes, it is incapable of…
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Keywords:
complex problems;
gravimetric complex;
problems airborne;
application gravimetric ... See more keywords