Gabryelczyk R., Brzychczy E., Gdowska K., Kluza K., 2022: Business Process Management in CEE countries: a literature-based research landscape. Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum : BPM 2022 Blockchain, RPA, and CEE Forum : Münster, Germany, September 11–16, 2022. Springer Nature Switzerland AG
Kęsek M., Ogrodnik R., 2021: Method for determining the utilization rate of thin-deck shearers based on recorded electromotor loads. Energies, vol. 14 iss. 13 art. no. 4059, s. 1-14
Gackowiec P., Brzychczy E., Kęsek M., 2021: Enhancement of machinery activity recognition in a mining environment with GPS data. Energies , vol. 14 iss. 12 art. no. 3422, s. 1-19
Rodriguez-Fernandez V., Trzcionkowska, A., Gonzalez-Pardo A., Brzychczy E., Nalepa G. J., Camacho D. 2021: Conformance Checking for Time Series-aware Processes. IEEE Transactions on Industrial Informatics, vol. 17, no. 2, art. no. 9018187, s. 871-881
Szpyrka M., Brzychczy E., Napieraj A., Korski J., Nalepa G.J. 2020: Conformance checking of a longwall shearer operation based on low-level events. Energies, vol. 13, iss. 24, art. no. 6630, s. 1-18
Lipiński P., Brzychczy E., Zimroz R., 2020: Decision tree-based classification for planetary gearboxes' condition monitoring with the use of vibration data in multidimensional symptom space. Sensors, vol. 20, iss. 21, art. no. 5979, s. 1-17
Gackowiec P., Podobińska-Staniec M., Brzychczy E., Christopher Kühlbach, Toyga Özver 2020: Review of key performance indicators for process monitoring in the mining industry. Energies, vol. 13, iss. 19, art. no. 5169, s. 1-20.
Brzychczy, E.; Gackowiec, P.; Liebetrau, M., 2020: Data Analytic Approaches for Mining Process Improvement - Machinery Utilization Use Case. Resources, vol. 9, iss. 17
Kęsek M. 2020: The k-means grouping method as a mean to control the performance of the production process Journal of the Polish Mineral Engineering Society R. 22 nr 1, s. 257-264.
Brzychczy E., Napieraj A., 2019: Analysis of a mining process performance in a longwall face - visualization proposals. Inżynieria Mineralna, R.21 nr2, pp. 251-258
Brzychczy E., 2019: An overview of data mining and process mining applications in underground mining. Inżynieria Mineralna, R.21 nr 1,pp. 301-314
Brzychczy E., 2019: Probabilistic modeling of mining production in an underground coal mine. W: Intelligent Systems in Production Engineering and Maintenance. [ISPEM 2018], eds. Anna Burduk [et al.]. Advances in Intelligent Systems and Computing. Cham : Springer Nature Switzerland AG, pp. 655-667
Brzychczy E., Trzcionkowska A., 2019: Process-oriented approach for analysis of sensor data from longwall monitoring system. W: Intelligent Systems in Production Engineering and Maintenance [ISPEM 2018], eds. Anna Burduk [et al.].Advances in Intelligent Systems and Computing. Cham : Springer Nature Switzerland AG, pp. 611-621
Kęsek M. 2019: Analysing data with the R programming language to control machine operation Journal of the Polish Mineral Engineering Society, R. 21 nr 1, s. 231-235.
Brzychczy E., Trzcionkowska A., 2018: Creation of an event log from a low-level machinery monitoring system for process mining purposes. Intelligent Data Engineering and Automated Learning, IDEAL 2018. Eds. Hujun Yin, [et al.]. Cham: Springer Nature Switzerland AG, Lecture Notes in Computer Science 11315, pp 54-63
Brzychczy E., Kostka D., 2018: Assessing process maturity of an underground mine: a case study. Inżynieria Mineralna, R. 20, nr 2, s. 55-63
Brzychczy E., 2018: Process modelling based on event logs. W: MAPE 2018 : XV international conference Multidisciplinary Aspects of Production Engineering, Zawiercie, Poland, Vol. 1 iss. 1. Wydawnictwo PANOVA, pp. 385-392
Brzychczy E., Napieraj A., Sukiennik M., 2018: Modelling of processes with use of process mining techniques. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie, vol. 116, no. 1995, s. 23-36
Kęsek M., Kla¶ M., Adamczyk A. 2018 A review of computer simulations in underground and open-pit mining. Journal of the Polish Mineral Engineering Society, no. 2, s. 7–14.
Kęsek M., Adamczyk A., Kla¶ M. 2018 Computer simulation of the operation of a longwall complex using the “Process Flow” concept of FlexSim software, Intelligent Systems in Production Engineering and Maintenance: Springer Nature Switzerland AG, cop. 2019.
Kęsek M., Ogrodnik R. 2018 Computer-aided monitoring and analysis of machine work, Marketing i Rynek; no 9. s. 383–395.
Nalepa G.J., Brzychczy E., Bobek S., 2018: On the opportunities for using mobile devices for activity monitoring and understanding in mining applications. Intelligent Data Engineering and Automated Learning IDEAL 2018. Eds. Hujun Yin, [et al.]. Cham: Springer Nature Switzerland AG, Lecture Notes in Computer Science 11315, pp. 75-83
Trzcionkowska A., Brzychczy E., 2018: Practical aspects of event logs creation for industrial process modelling. W: MAPE 2018 : XV international conference Multidisciplinary Aspects of Production Engineering, Zawiercie, Poland, Vol. 1 iss. 1. Wydawnictwo PANOVA, pp. 77-83
Brzychczy E., Trzcionkowska A., 2017: New possibilities for process analysis in an underground mine. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie z. 111: Management in mining production, economic, social and technical perspectives and experiences, s. 13-25
Brzychczy, E., Kęsek, M., Napieraj, A., Magda R., 2017: An expert system for underground coal mine planning. Gospodarka Surowcami Mineralnymi, 33(2), pp. 113-127
Brzychczy E., Napieraj A., Sukiennik M., 2017: Evolutionary optimisation of coal production in underground mines. Zeszyty Naukowe Politechniki Śląskiej, nr 1972. Organizacja i Zarządzanie z. 100, s. 61-76
Brzychczy E., 2016: Planning of mining operations in an underground coal mine. W: Underground Mining. 24th World Mining Congress Proceedings, e-book, Instituto Brasileiro de Mineraçao IBRAM, 1ed. - Rio de Janeiro
Brzychczy E., Napieraj A., Sukiennik M., 2015: Modelling and optimization of mining production in coal mines with use of the OPTiCoalMine calculation service. Przegl±d Górniczy 2015 t. 71 nr 8, (in polish)
Kęsek M., Zagórska J., 2015: The engine load analysis of extracting-loading head as an element of evaluating its usage correctness Logistyka ; ISSN 1231-5478. — 2015 nr 4 (in polish)
Sukiennik M., Napieraj A., 2015: Evaluation of the risk in production process within hard coal longwall faces. Zeszyty Naukowe Uniwersytet Szczeciński nr 855. 2015 nr 74 t. 1 (in polish)
Brzychczy E., Lipiński P., Zimroz R., Filipiak P., 2014: Artificial Immune Systems for data classification in planetary gearboxes condition monitoring. Advances in Condition Monitoring of Machinery in Non-stationary Operations : proceedings of CMMNO 2013. eds. Giorgio Dalpiaz, [et al.]. (Lecture Notes in Mechanical Engineering) Springer-Verlag
Brzychczy E., 2014: A new solution supporting the designing process of mining operations in underground coal mines. Mine Planning and Equipment Selection : proceedings of the 22nd MPES conference : Dresden, Germany, 14th-19th October 2013, Vol. 1, eds. Carsten Drebenstedt, Raj Singhal. Springer
Brzychczy E., Kęsek M., Napieraj A., Sukiennik M., 2014: The use of fuzzy systems in the designing of mining process in hard coal mines. Archives of Mining Sciences, vol. 59 no. 3
Kęsek M., Brzychczy E., Napieraj A., Sukiennik M., 2014: Modeling of shifting output in wall heading with the use of Ordered Fuzzy Numbers (OFN). Przegl±d Górniczy 2014 t. 70 nr 9 (in polish)
Kęsek M., 2014: The use of data exploration methods in production management in a hard coal mine. Wiadomo¶ci Górnicze, no 4, (in polish)
Napieraj A., Brzychczy E., Kęsek M., Sukiennik M., 2014: Modeling of the shift output in the longwall excavation. Theory and technique of coal mining and disaster prevention in deep mines : proceedings of international mining conference.
Kęsek M., 2013: Application of chosen computer-aided methods of data exploration in production management system used in hard coal. The AGH University of Science and Technology Press, vol. 289, (in polish)
Kęsek M., 2013: Application of decision trees to support the selection of equipment during mining works planning in hard coal mines. Przegl±d Górniczy, no 9, (in polish)
Snopkowski R., Sukiennik M., 2013: Longwall face crew selection with respect to stochastic character of the production process. Pt. 2, Calculation example, Archives of Mining Sciences, vol. 58 no. 1
Sukiennik M., 2013: Analysis of the possibility of ICT technology application in hard coal mines. Przegl±d Górniczy t. 69 nr 4/2013, (in polish)
Kęsek M., 2012: Selected types of representation of knowledge gained in mining. Przegl±d Górniczy, no 9, (in polish)
Snopkowski R., Napieraj A., 2012: Method of the production cycle duration time modeling within hard coal longwall faces. Archives of Mining Sciences, vol. 57 no. 1
Brzychczy E., Magda R., Franik T., Kęsek M., WoĽny T., Napieraj A., 2011: An expert system for supporting mine production planning in multi-plant mining enterprises. 22nd World Mining Congress. red. S. Eskikaya. Volume II.
Brzychczy E., Tajdu¶ K., 2011: Designing a knowledge base for an advisory system supporting mining works planning in hard coal mines. Advanced Information Technologies for Management, AITM 2011. Intelligent Technologies and Applications. J. Korczak, H. Dudycz, M. Dyczkowski, eds. Research Papers of Wroclaw University of Economics no. 206, Wroclaw
Brzychczy E., 2011: The planning optimization system for underground hard coal mines. Archives of Mining Sciences, vol. 56 no. 2
Kęsek M,. 2011: Possibilities of R Language integration in the integrated management for coal mining enterprises. Printing House of PTZP, (in polish)
Kęsek M., 2010: Language R in mining knowledge discovery., Przegl±d Górniczy, no 9 (in polish)
