Zespół Modelowania, Oceny Efektywności i Bezpieczeństwa Systemów Komputerowych

2021

• Kempa W.; Rydarowska-Kurzbauer J.; Halama M.; Smuda E.; Biel M.; Statistical and Econometric Analysis of Selected Effects of COVID-19 Pandemic; Multidisciplinary Aspects of Production Engineering ; 2021
• Kumar R.; Soodan B.; Kuaban G.; Czekalski P.; Sharma S.; Performance Analysis of a Cloud Computing System using Queuing Model with Correlated Task Reneging; Journal of Physics: Conference Series, presented in 5th International Scientific Conference on Information, Control, and Communication Technologies (ICCT-2021) 4-7 October 2021, Astrakhan, Russian Federation; 2021
• Nycz M.; Nycz T.; Czachórski T.; Fluid-Flow Approximation in the Analysis of Vast Energy-Aware Networks; Mathematics; 2021
• Byrski A.; Czachórski T.; Gelenbe E.; Grochla K.; Murayama Y.; Computer Science Protecting Human Society Against Epidemics; ANTICOVID 2021; 2021
• Gelenbe E.; NOBEL PRIZE 50 YEARS AGO; Europhysics News ; 2021
• Kuaban G.; Soodan B.; Kumar R.; Czekalski P.; Analysis of the Performance of a Cloud Computing Processing Queue with Correlated Reneging of Tasks and Resubmission; 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET); 2021
• Atmaca T.; Kamli A.; Kuaban G.; Czachórski T.; Performance Evaluation of the Packet Aggregation Mechanism of an N-GREEN Metro Network Node; Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) Workshop 2020; 2021
• Kuaban G.; Atmaca T.; Kamli A.; Czachórski T.; Czekalski P.; Performance Analysis of Packet Aggregation Mechanisms and Their Applications in Access (e.g., IoT, 4G/5G), Core, and Data Centre Networks; Sensors; 2021
• Nycz T.; Czachórski T.; Nycz M.; Diffusion Model of Preemptive-Resume Priority Systems and Its Application to Performance Evaluation of SDN Switches.; Sensors; 2021
• Nakip M.; Asut A.; Kocabıyık C.; Güzeliş C.; A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic; 13th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING (ELECO); 2021
• Saylam A.; Kelesoglu N.; Cikmazel R.; Nakip M.; Rodoplu V.; Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning; International Conference on Computer, Information and Telecommunication Systems (CITS); 2021
• Nakip M.; Çopur O.; Güzeliş C.; Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey; ASYU2021 ; 2021
• Saylam A.; Cikmazel R.; Kelesoglu N.; Nakip M.; Rodoplu V.; Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence; ASYU2021 ; 2021
• Gelenbe E.; Nakip M.; Marek D.; Czachórski T.; Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem; 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems; 2021
• Nakip M.; Gelenbe E.; MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network; 2021 IEEE Global Communications Conference; 2021
• Szyguła J.; Domański A.; Domańska J.; Marek D.; Filus K.; Mendla S.; Supervised learning of Neural Networks for Active Queue Management in the Internet; Sensors; 2021
• Foremski P.; Berger A.; Plonka D.; Internet address structure analysis, and applications thereof; 2021
• Çakan E.; Şahin A.; Nakip M.; Rodoplu V.; Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning; 7th IEEE World Forum on the Internet of Things; 2021
• Nakip M.; Karakayali K.; Güzeliş C.; Rodoplu V.; An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things; IEEE Access; 2021
• Nakip M.; Helva A.; Güzeliş C.; Rodoplu V.; Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things; 7th IEEE World Forum on the Internet of Things; 2021
• Nakip M.; Güzeliş C.; Yıldız O.; Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection; IEEE Access; 2021
• Fröhlich P.; Gelenbe E.; Nowak M.; Reinforcement Learning and Energy-Aware Routing; ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021; 2021
• Siavvas M.; Kehagias D.; Tzovaras D.; Gelenbe E.; A hierarchical model for quantifying software security based on static analysis alerts and software metrics; Software Quality Journal; 2021
• Gelenbe E.; Brasseur G.; Chefneux L.; Devant V.; Halloin V.; Haton J.; Judkiewicz M.; Rentier B.; Weikmans R.; On Sharing Knowledge And Fostering “Open Science”; Ubiquity (ACM Journal); 2021
• Marek D.; Domański A.; Domańska J.; Szyguła J.; Czachórski T.; Klamka J.; Diffusion model of a non-integer order PIγ controller with TCP/UDP streams; Entropy; 2021