Gorawski M, Grochla K.  2014.  Review of mobility models for performance evaluation of wireless networks. Advance in Intelligent Systems and Computing. 242:567–577.

Ding L., Zhang L., Wu X., Skibniewski MJ, Qunzhou Y..  2014.  Safety management in tunnel construction: Case study of Wuhan metro construction in China. Safety Science. 62:8–15.

Grochla K, Połys K.  2014.  Simplied model of wireless network throughput changes resulting from client mobility. Proceedings of SIMUTools 2014.

Foremski P, Gorawski M, Grochla K.  2014.  Source Model of TCP Traffic in LTE Networks. Information Sciences and Systems 2014.

Rudnicki Ł., Puchała Z, Życzkowski K.  2014.  Strong Majorization Entropic Uncertainty Relations. Phys. Rev. A. 89:052115.

Głomb P, Sochan A.  2014.  Surface Mixture Models for the Optimization of Object Boundary Representation. Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science 8467. :703–714.

Opozda S, Sochan A.  2014.  The survey of subjective and objective method for quality assessment of 2D and 3D images. Theoretical and Applied Informatics. 26:39–67.

Skabek K, Tomaka A A.  2014.  Techniques of processing and segmentation of 3d geometric models for detection of the occlusal area of dental arches. Novel Methodology of Both Diagnosis and Therapy of Bruxism. :57–62.

[Anonim].  2014.  Tensor Decomposition of Dynamic 3D face models created using Microsoft Kinect.

Zhang L., Wu X., Chen Q., Skibniewski MJ, Hsu S.-C..  2014.  Towards a safety management approach for adjacent buildings in tunneling environments: Case study in China. Building and Environment. 75:222–235.

Czachórski T, Nycz T., Nycz M., Pekergin F.  2014.  Traffic Engineering: Erlang and Engset Models Revisited with Diffusion Approximation. Information Sciences and Systems 2014. :249–256.

Domino K, Błachowicz T.  2014.  The use of copula functions for modeling the risk of investment in shares traded on the Warsaw Stock Exchange. Physica A. 413:77–85.

Domino K, Błachowicz T, Ciupak M.  2014.  The use of copula functions for predictive analysis of correlations between extreme storm tides. Physica A. 413:489–497.

Kowalski P, Pojda D.  2014.  Visualization of heterogenic images of 3D scene. Man-Machine Interacions 3. :291–297.

Foremski P, Callegari C., Pagano M..  2014.  Waterfall: Rapid identification of IP flows using cascade classification. Communications in Computer and Information Science.

Skibniewski MJ, Tserng H.-P., Ju S.-H., Feng C.-W., Lin C.-T., Han J.-Y., Weng K.-W., Hsu S.-C..  2014.  Web-based real time bridge scour monitoring system for disaster management.. Baltic Journal of Road and Bridge Engineering. 9:17–25.

Połys K.  2014.  Wpływ wielkości histerezy przełączeń na przepustowość w sieci LTE. Studia Informatica. 35:53–62.

Sekuła P.  2014.  Zarządzanie programami według Program Management Institute. Barometr Regionalny. Analizy i prognozy. 12

Tomaka A A.  2013.  Analiza obrazów wielomodalnych dla potrzeb nieinwazyjnej diagnostyki ortodontycznej.

Domański A, Domańska J, Klamka J.  2013.  Analysis of CHOKe-Family Active Queue Management. Theoretical and Applied Informatics. 25:49–66.

Winiarczyk R, Gawron P, Miszczak J, Pawela Ł, Puchała Z.  2013.  Analysis of patent activity in the field of quantum information processing. International Journal of Quantum Information. 11:1350007.

Czachórski T, Nycz M., Nycz T., Pekergin F.  2013.  Analytical and numerical means to model transient states in computer networks. Computer Networks. :426–435.

Cholewa M, Głomb P, Opozda S, Romaszewski M, Sochan A, Kosiedowski M., Kuśmierek E., Bęben A., Krawiec P., Stroiński A..  2013.  Aplikacje Sieci Świadomej Treści. Inżynieria Internetu przyszłości część 2.

Tkacz E, Budzianowski Z, Provaznik I, Oleksy W.  2013.  The Application of Higher Order Spectra for Analysis of Heart Rate Variability (HRV) Signals Acquired from Patients after Ischemic Brain Stroke. Transactions of Japanese Society for Medical and Biological Engineering. 51:R–74. (299.08 KB)

Strack B., Jacobs K.M., Cios KJ.  2013.  Biological restraint on the Izhikevich neuron model Essential for seizure modeling. Proceedings. :395–398.