Wykaz publikacji wybranego autora

Krzysztof Boryczko, prof. dr hab. inż.

profesor nadzwyczajny

Wydział Informatyki
WI-ii, Instytut Informatyki

  • 2018

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / informatyka

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja (25%)

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / informatyka

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-3392-3739 połącz konto z ORCID

ResearcherID: DWG-7061-2022

Scopus: 57193806587

PBN: 5e7091f5878c28a04738dbd1

OPI Nauka Polska

System Informacyjny AGH (SkOs)

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  • A parallel preconditioning for the nonlinear stokes problem
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  • An improved technique for full spectral rendering
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  • Approximate clustering of noisy biomedical data
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  • Bridging diverse physical scales with the discrete-particle paradigm in modeling colloidal dynamics with mesoscopic features
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  • Clustering revealed in high-resolution simulations and visualization of multi-resolution features in fluid-particle models
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  • Comparison of algorithm efficiency and mesh quality in Delaunay triangulation for complex 2D domains
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  • Dense affinity propagation on clusters of GPUs
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  • Discrete-particle model of blood clotting in capillary vessels
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  • Dynamical clustering of red blood cells in capillary vessels
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  • Finding exemplars in dense data with affinity propagation on clusters of GPUs
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  • GPU bucket sort algorithm with applications to nearest-neighbour search
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  • Hybrid architecture for simulation of blood flow with foreign bodies
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  • Hybrid biclustering algorithms for data mining
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  • Mesoscopic dynamics of colloids simulated with dissipative particle dynamics and fluid particle model
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  • Modeling incompressible fluids by means of the SPH method: surface tension and viscosity
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  • Modeling mesoscopic fluids with discrete-particles – methods, algorithms, and results
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  • Multi-resolution clustering analysis and 3-D visualization of multitudinous synthetic earthquakes
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  • Nonlinear multidimensional scaling and visualization of earthquake clusters over space, time and feature space
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  • Parallel approach for visual clustering of protein databases
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  • Parallel implementation of the fluid particle model for simulating complex fluids in the mesoscale