Hussain KF, Bassyouni MYousef, Gelenbe E.  2019.  Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version. CoRR. abs/1906.08864

Hussain KF, Bassyouni MYousef, Gelenbe E.  2019.  Accurate, Energy-efficient Classification With Spiking Random Neural Network. Probability in the Engineering and Informational Sciences.

Książek K, Grochla K.  2019.  Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments. Sensors. 19

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 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

Kuaban GSuila, Molua EL, Czekalski P, Grochla K.  2019.  An Architectural Framework Proposal for IoT Driven Agriculture. Computer Network 2019.

Suila GKuaban, Czekalski P, Molua EL, Grochla K.  2019.  An Architectural Framework Proposal for IoT Driven Agriculture. International Conference on Computer Networks.

Franz M, Young S, Remias S, Pack M, Sadabadi KFarokhi, Sekula P.  2019.  Automated Traffic Signal Performance Measures Using Emerging Data Sources. 2019 ITS America Annual Meeting.

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. :p.121.

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.

Zhou Y, Li C, Ding L, Sekula P, Love PED, Zhou C.  2019.  Combining association rules mining with complex networks to monitor coupled risks. Reliability Engineering & System Safety. 186

Zhou Y, Li C, Ding L, Sekuła P, Love PED, Zhou C.  2019.  Combining association rules mining with complex networks to monitor coupled risks. Reliability Engineering & System Safety. 186

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.

AlKilani H, Nasereddin M, Hadi A, Tedmori S.  2019.  Data Exfiltration Techniques and Data Loss Prevention System. 2019 International Arab Conference on Information Technology (ACIT).

Czachórski T.  2019.  Diffusion approximation as a tool in computer networks performance evaluation, invited talk, The 9th International Conference on Electronics, Communications and Networks, CECNet 2019, October 18-21, 2019 Kitakyushu City, Japan.  (889.8 KB)

Czachórski T, Grochla K.  2019.  Diffusion Approximation Models for Cloud Computations with Task Migrations. 2019 IEEE International Conference on Fog Computing (ICFC).

Mzaouali Z, Campbell S, Baz MEl.  2019.  Discrete and generalized phase space techniques in critical quantum spin chains. Physics Letters A. 383