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Łukasz Paśko
Łukasz Paśko
Zakład Informatyki, Politechnika Rzeszowska
在 prz.edu.pl 的电子邮件经过验证
标题
引用次数
引用次数
年份
Mapping industry 4.0 enabling technologies into United Nations sustainability development goals
MM Mabkhot, P Ferreira, A Maffei, P Podržaj, M Mądziel, D Antonelli, ...
Sustainability 13 (5), 2560, 2021
882021
The Use of Artificial Intelligence Methods to Assess the Effectiveness of Lean Maintenance Concept Implementation in Manufacturing Enterprises
K Antosz, L Pasko, A Gola
Applied Sciences 10 (21), 7922, 2020
582020
The Use of Intelligent Systems to Support the Decision-Making Process in Lean Maintenance Management
K Antosz, L Pasko, A Gola
IFAC-PapersOnLine 52 (10), 148-153, 2019
502019
Application of machine learning and rough set theory in lean maintenance decision support system development
K Antosz, M Jasiulewicz-Kaczmarek, Ł Paśko, C Zhang, S Wang
Eksploatacja i Niezawodność 23 (4), 2021
372021
Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing
G Dec, D Stadnicka, Ł Paśko, M Mądziel, R Figliè, D Mazzei, M Tyrovolas, ...
Sensors 22 (7), 2496, 2022
322022
Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing
Ł Paśko, M Mądziel, D Stadnicka, G Dec, A Carreras-Coch, X Solé-Beteta, ...
Sustainability 14 (6), 3312, 2022
282022
Zastosowanie metod eksploracji danych do segmentacji rynków
G Setlak, Ł Paśko
Studia Informatica 34 (2A), 311--323, 2013
9*2013
The use of intelligent systems to support the decision-making process in lean maintenance management. IFAC PapersOnLine 52–10, 148–153 (2019)
K Antosz, L Pasko, A Gola
6
Badanie jakości predykcyjnej segmentacji rynku
Ł Paśko, G Setlak
Studia Informatica 37 (1), 83-97, 2016
5*2016
Ocena segmentacji rynku za pomocą miar jakości grupowania danych
Ł Paśko, G Setlak
Studia Informatica 35 (2), 157-173, 2014
5*2014
Six Sigma and Random Forests Application for Product Quality System Control Development
K Antosz, A Gola, Ł Paśko, T Malheiro, AM Gonçalves, L Varela
International Scientific-Technical Conference MANUFACTURING, 99-112, 2022
42022
Methods of data mining for quality assurance in glassworks
Ł Paśko, P Litwin
Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working …, 2019
42019
Neural Model of Manufacturing Process as a Way to Improve Predictability of Manufacturing
Ł Paśko, K Antosz
International Scientific-Technical Conference MANUFACTURING, 24-38, 2022
32022
Random Forests in a Glassworks: Knowledge Discovery from Industrial Data
G Setlak, Ł Paśko
Information Systems Architecture and Technology: Proceedings of 40th …, 2020
32020
Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0
R Figliè, R Amadio, M Tyrovolas, C Stylios, Ł Paśko, D Stadnicka, ...
IEEE Access, 2024
22024
Wpływ wybranych metryk na wynik badania skupisk
Ł Paśko, G Setlak
Zeszyty Naukowe Politechniki Śląskiej, Seria Informatyka 36 (1), 31-45, 2015
22015
Bootstrap Aggregation Technique for Evaluating the Significance of Manufacturing Process Parameters in the Glass Industry
Ł Paśko, A Kuś
Technical Sciences 24, 135–155-135–155, 2021
12021
Significance of Manufacturing Process Parameters in a Glassworks
Ł Paśko
Advances in Manufacturing Science and Technology 44 (2), 39-45, 2020
12020
INTELLIGENT ANALYSIS OF MANUFACTURING DATA
G Setlak, M Piróg-Mazur, Ł Paśko
Computational Models for Business and Engineering Domains, 109-122, 2014
1*2014
Adapting education programs to the requirements of industry and society
Ł Paśko
Book of Abstracts, 321, 2022
2022
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