| Resource usage optimization in mobile cloud computing P Nawrocki, W Reszelewski Computer Communications 99, 1-12, 2017 | 47 | 2017 |
| A comparison of native and cross-platform frameworks for mobile applications P Nawrocki, K Wrona, M Marczak, B Sniezynski Computer 54 (3), 18-27, 2021 | 41 | 2021 |
| SLA monitoring and management framework for telecommunication services J Kosinski, P Nawrocki, D Radziszowski, K Zielinski, S Zielinski, ... Fourth International Conference on Networking and Services (icns 2008), 170-175, 2008 | 41 | 2008 |
| Embedded systems in the application of fog computing—Levee monitoring use case R Brzoza-Woch, M Konieczny, P Nawrocki, T Szydlo, K Zielinski 2016 11th IEEE Symposium on Industrial Embedded Systems (SIES), 1-6, 2016 | 35 | 2016 |
| VM reservation plan adaptation using machine learning in cloud computing B Sniezynski, P Nawrocki, M Wilk, M Jarzab, K Zielinski Journal of Grid Computing 17, 797-812, 2019 | 31 | 2019 |
| Cloud resource demand prediction using machine learning in the context of qos parameters P Nawrocki, P Osypanka Journal of Grid Computing 19 (2), 20, 2021 | 28 | 2021 |
| Holistic approach to urgent computing for flood decision support R Brzoza-Woch, M Konieczny, B Kwolek, P Nawrocki, T Szydło, ... Procedia Computer Science 51, 2387-2396, 2015 | 28 | 2015 |
| Adaptable mobile cloud computing environment with code transfer based on machine learning P Nawrocki, B Sniezynski, H Slojewski Pervasive and Mobile Computing 57, 49-63, 2019 | 27 | 2019 |
| Resource usage cost optimization in cloud computing using machine learning P Osypanka, P Nawrocki IEEE Transactions on Cloud Computing 10 (3), 2079-2089, 2020 | 26 | 2020 |
| Power aware MOM for telemetry-oriented applications using GPRS-enabled embedded devices-levee monitoring use case T Szydlo, P Nawrocki, R Brzoza-Woch, K Zielinski 2014 Federated Conference on Computer Science and Information Systems, 1059-1064, 2014 | 26 | 2014 |
| Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities B Balis, R Brzoza-Woch, M Bubak, M Kasztelnik, B Kwolek, P Nawrocki, ... Future Generation Computer Systems 79, 128-143, 2018 | 25 | 2018 |
| Adaptive service management in mobile cloud computing by means of supervised and reinforcement learning P Nawrocki, B Sniezynski Journal of Network and Systems Management 26 (1), 1-22, 2018 | 24 | 2018 |
| FPGA-Based Web Services--Infinite Potential or a Road to Nowhere? R Brzoza-Woch, P Nawrocki IEEE Internet Computing 20 (1), 44-51, 2016 | 20 | 2016 |
| Learning agent for a service-oriented context-aware recommender system in heterogeneous environment P Nawrocki, B Śnieżyński, J Czyżewski Computing and Informatics 35 (5), 1005-1026, 2016 | 19 | 2016 |
| Adaptive resource planning for cloud-based services using machine learning P Nawrocki, M Grzywacz, B Sniezynski Journal of Parallel and Distributed Computing 152, 88-97, 2021 | 16 | 2021 |
| QoS-aware cloud resource prediction for computing services P Osypanka, P Nawrocki IEEE Transactions on Services Computing 16 (2), 1346-1357, 2022 | 15 | 2022 |
| Autonomous context-based service optimization in mobile cloud computing P Nawrocki, B Sniezynski Journal of Grid computing 15, 343-356, 2017 | 15 | 2017 |
| Adaptive context-aware energy optimization for services on mobile devices with use of machine learning P Nawrocki, B Sniezynski Wireless Personal Communications 115 (3), 1839-1867, 2020 | 14 | 2020 |
| Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects P Nawrocki, B Sniezynski, J Kolodziej, P Szynkiewicz 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 13 | 2020 |
| Gaze aversion in conversational settings: An investigation based on mock job interview C Acarturk, B Indurkya, P Nawrocki, B Sniezynski, M Jarosz, KA Usal Journal of Eye Movement Research 14 (1), 2021 | 9 | 2021 |
