| Methodologies of knowledge discovery from data and data mining methods in mechanical engineering M Rogalewicz, R Sika Management and Production Engineering Review 7 (4), 97-108, 2016 | 86 | 2016 |
| Decision support system in the field of defects assessment in the metal matrix composites castings R Sika, M Rogalewicz, P Popielarski, D Czarnecka-Komorowska, ... Materials 13 (16), 3552, 2020 | 25 | 2020 |
| Modeling of foundry processes in the era of industry 4.0 J Kozłowski, R Sika, F Górski, O Ciszak Design, Simulation, Manufacturing: The Innovation Exchange, 62-71, 2018 | 22 | 2018 |
| Application of instance-based learning for cast iron casting defects prediction R Sika, D Szajewski, J Hajkowski, P Popielarski Management and Production Engineering Review, 2019 | 15 | 2019 |
| Demerit control chart as a decision support tool in quality control of ductile cast-iron casting process R Sika, M Rogalewicz MATEC web of conferences 121, 05007, 2017 | 15 | 2017 |
| Synergy of modeling processes in the area of soft and hard modeling R Sika, J Hajkowski MATEC Web of Conferences 121, 04009, 2017 | 14 | 2017 |
| Prediction of HPDC casting properties made of AlSi9Cu3 alloy J Hajkowski, P Popielarski, R Sika Advances in Manufacturing, 621-631, 2018 | 13 | 2018 |
| Specificity of SPC procedures application in foundry in aspect of Data Acquisition and Data Exploration Z Ignaszak, R Sika Archives of Foundry Engineering 12 (4), 65-70, 2012 | 10 | 2012 |
| Increasing the strength of materials by topological optimization methods A Zdobytskyi, M Lobur, R Panchak, R Sika, K Kalinowski 2021 IEEE 16th International Conference on the Experience of Designing and …, 2021 | 9 | 2021 |
| The system to explore the chosen production data and its testing in the foundry Z Ignaszak, R Sika Archives of Mechanical Technology and Automation 28, 1, 2008 | 9 | 2008 |
| Analysis and control of high-pressure die-casting process parameters with use of data mining tools J Kozłowski, M Jakimiuk, M Rogalewicz, R Sika, J Hajkowski Advances in Manufacturing II: Volume 2-Production Engineering and Management …, 2019 | 8 | 2019 |
| Effectiveness of SCADA systems in control of green sands properties Z Ignaszak, R Sika, M Perzyk, A Kochański, J Kozłowski Archives of Foundry Engineering 16 (1), 5--12, 2016 | 8 | 2016 |
| Data acquisition in modeling using neural networks and decision trees R Sika, Z Ignaszak Archives of Foundry Engineering 11 (2), 113-122, 2011 | 8 | 2011 |
| Modern Reverse Engineering Methods Used to Modification of Jewelry A Kroma, O Adamczak, R Sika, F Górski, W Kuczko, K Grześkowiak Advances in Science and Technology. Research Journal 14 (4), 2020 | 7 | 2020 |
| Open atlas of defects as a supporting knowledge base for cast iron defects analysis R Sika, M Rogalewicz, A Kroma, Z Ignaszak Archives of Foundry Engineering 20 (1), 55-60, 2020 | 7 | 2020 |
| Computer simulation of cast iron flow in castability trials P Popielarski, J Hajkowski, R Sika, Z Ignaszak Archives of Metallurgy and Materials 64, 2019 | 7 | 2019 |
| Contribution to the assessment of the data acquisition effectiveness in the aspect of gas porosity defects prediction in ductile cast iron castings Z Ignaszak, R Sika, M Rogalewicz Archives of Foundry Engineering 18 (1), 35-40, 2018 | 7 | 2018 |
| Forecasting of steel consumption with use of nearest neighbors method M Rogalewicz, R Sika, P Popielarski, G Wytyk MATEC Web of Conferences 137, 01010, 2017 | 7 | 2017 |
| Implementation KMES Quality system for acquisition and processing data in chosen foundry R Sika, Z Ignaszak Archives of Foundry Engineering 8 (3), 97-102, 2008 | 7 | 2008 |
| Gawdzi nska, K.; Szyma nski, P R Sika, M Rogalewicz, P Popielarski, D Czarnecka-Komorowska, ... Decision Support System in the field of defects assessment in the Metal …, 2020 | 6 | 2020 |
