Publikacje

Found 986 results
2019
Domino K, Gawron P.  2019.  An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams. International Journal of Applied Mathematics and Computer Science. 29(1):206.
Domino K, Bełdowski D, Mazurkiewicz A, Musiał J, Słomion M, Dobosz R.  2019.  Analysis of Protein Intramolecular and Solvent Bonding on Example of Major Synovial Fluid Component. Preprints 2019, 2019110339.
Domino M, Domino K, Gajewski Z.  2019.  An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy. Biosystems. 175
Pojda D, Tomaka A A, Luchowski L, Skabek K, Tarnawski M.  2019.  Applying computational geometry to designing an occlusal splint. Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2018. Lecture Notes in Computer Science. vol 10986
Tomaka A A, Luchowski L, Pojda D, Skabek K, Tarnawski M.  2019.  Applying computational geometry to designing an occlusal splint. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (TCIV).
Ostaszewski M, Miszczak J, Sadowski P, Banchi L..  2019.  Approximation of quantum control correction scheme using deep neural networks. Quantum Information Processing. 18
Domański A, Domańska J, Czachórski T, Klamka J, Szyguła J.  2019.  The AQM Dropping Packet Probability Function Based on Non-integer Order PI^αD^β Controller. Lecture Notes in Electrical Engineering. 496:36-48.
Domański A, Domańska J, Czachórski T, Klamka J, Marek D, Szyguła J.  2019.  AQM Mechanism with the Dropping Packet Function Based on the Answer of Several PIα Controllers. Communications in Computer and Information Science . 1039
Suila GKuaban, Czekalski P, Molua EL, Grochla K.  2019.  An Architectural Framework Proposal for IoT Driven Agriculture. International Conference on Computer Networks.
Głomb P, Domino K, Romaszewski M, Cholewa M.  2019.  Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. PP-RAI'2019.
Jałowiecki K, Rams M, Gardas B.  2019.  Brute-forcing spin-glass problems with CUDA. arXiv:1904.03621.
Nowak M, Nowak S, Domańska J, Czachórski T.  2019.  Cognitive Packet Networks for the Secure Internet of Things. Global IoT Summit (GIoTS).
Nowak M, Nowak S, Domańska J.  2019.  Cognitive Routing for Improvement of IoT Security. 2019 IEEE International Conference on Fog Computing ICFC.
Glos A, Nahimovs N.  2019.  Comment on Nahimovs et al. 'On the probability of finding marked connected components using quantum walks'.
Domino M, Domino K, Pawlinski B, Sady M, Gajewska M, Gajewski Z.  2019.  Computational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus. Experimental Physiology. 104(3)
Cai S, Ma Z, Skibniewski MJ, Bao S.  2019.  Construction automation and robotics for high-rise buildings over the past decades: A comprehensive review. Advanced Engineering Informatics. 42:100989.
Czachórski T, Grochla K.  2019.  Diffusion Approximation Models for Cloud Computations with Task Migrations. 2019 IEEE International Conference on Fog Computing (ICFC).
Więckowski A., Deffner S., Gardas B.  2019.  Disorder-assisted graph coloring on quantum annealers. Physical Review A. 100
Korzekwa K, Czachórski S, Puchała Z, Życzkowski K.  2019.  Distinguishing classically indistinguishable states and channels. Journal of Physics A: Mathematical and Theoretical. 52:475303.
Foremski P.  2019.  DNS Observatory: The Big Picture of the DNS. ACM Internet Measurement Conference 2019.
Foremski P, Gasser O, Moura G.  2019.  DNS Observatory: The Big Picture of the DNS. ACM Internet Measurement Conference 2019.
Tomaka A A, Luchowski L, Pojda D, Tarnawski M.  2019.  Dynamic Occlusion Surface Estimation from 4D Multimodal Data. Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing. vol 1011
Tomaka A A, Luchowski L, Pojda D, Tarnawski M, Domino K.  2019.  The dynamics of the stomatognathic system from 4D multimodal data. In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles.
Masarczyk W, Głomb P, Grabowski B, Ostaszewski M.  2019.  Effective transfer learning for hyperspectral image classification with deep convolutional neural networks.
Korzekwa K, Puchała Z, Tomamichel M, Życzkowski K.  2019.  Encoding classical information into quantum resources. arXiv:1911.12373.

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