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Developing a Methodology for Building the Knowledge Base and Application Procedures Supporting the Process of Material and Technological Conversion

Archives of metallurgy and materials, 2022-01, Vol.67 (3), p.1085-1091

2022

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Selection of Casting Materials for Working Parts of Machines for the Forestry Sector

Archives of metallurgy and materials, 2022-01, Vol.67 (2), p.743-752

2022

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Structural stability of thin-walled austempered ductile iron castings

Archives of Civil and Mechanical Engineering, 2023-02, Vol.23 (2), p.79, Article 79

2023

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Comparison of the Classical Algorithm with the Training Algorithm in Scheduling Problem ADI Production

Archives of foundry engineering, 2022-01, Vol.22 (1), p.5-12

2022

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Selection of materials and development of technology for the production of elements used in conditions of extreme tribological wear

Archives of foundry engineering, 2021-01, Vol.21 (4), p.47-54

2021

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Selection of Casting Materials for Working Parts of Machines for the Forestry Sector

Archives of metallurgy and materials, 2021-07, p.743-752

2021

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Comparison of the Classical Algorithm with the Training Algorithm in Scheduling Problem ADI Production

Archives of foundry engineering, 2022-01, p.5-12

2022

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Bunt i nostalgia. Filmy dokumentalne o festiwalu w Jarocinie

Images (Gniezno, Poland), 2019-12, Vol.26 (35), p.171-181

Bitka, Stanisław

2019

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Dźwięk i znaczenie w Truposzu Jima Jarmuscha

Przestrzenie teorii, 2019-01 (29)

Bitka, Stanisław

2019

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Dźwięk i znaczenie w Truposzu Jima Jarmuscha

Przestrzenie teorii, 2018 (29), p.251-260

Bitka, Stanisław

2018

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Influence of the Cooling Rate on Mechanical and Corrosion Properties of Ferritic Si–Mo Ductile Cast Iron

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2023-06, Vol.54 (6), p.2362-2373

2023

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Decision Support Tool in the Selection of Powder for 3D Printing

Materials, 2024-04, Vol.17 (8), p.1873

2024

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Analysis of the Possibility of Using Selected Tools and Algorithms in the Classification and Recognition of Type of Microstructure

Materials, 2023-11, Vol.16 (21), p.6837

2023

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Analyze the Wear Mechanism of the Longwall Shearer Haulage System

Materials, 2023-04, Vol.16 (8), p.3090

2023

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Assessment of the Quality and Mechanical Parameters of Castings Using Machine Learning Methods

Materials, 2022-04, Vol.15 (8), p.2884

2022

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Optimization of mechanical properties of complex, two-stage heat treatment of Cu-Ni

Journal of thermal analysis and calorimetry, 2018-05, Vol.132 (2), p.813

2018

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Development of a CT Image Analysis Model for Cast Iron Products Based on Artificial Intelligence Methods

Materials, 2022-11, Vol.15 (22), p.8254

2022

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Optimization of mechanical properties of complex, two-stage heat treatment of Cu–Ni (Mn, Mo) austempered ductile iron

Journal of thermal analysis and calorimetry, 2018-05, Vol.132 (2), p.813-822

2018

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Improving the Wear Resistance of High Chromium Cast Iron through High Entropy Alloys Concepts and Microstructure Refinement

Materials research (São Carlos, São Paulo, Brazil), 2023-01, Vol.26

2023

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Modification of Casting Production Parameters in Order to Obtain Products with the Assumed Parameters with Using Machine Learning

International journal of metalcasting, 2023-10, Vol.17 (4), p.2680-2688

2023

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Analysis of Thermal Interactions in the Slag Pots for Transporting Copper Slags

Heat and Technology, 2022-04, Vol.40 (2), p.646-652

2022

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Selection of casting production parameters with the use of machine learning and data supplementation methods in order to obtain products with the assumed parameters

Archives of Civil and Mechanical Engineering, 2023-02, Vol.23 (2), p.73, Article 73

2023

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Analysis of the Possibility of Making a Digital Twin for Devices Operating in Foundries

Electronics (Basel), 2024-01, Vol.13 (2), p.349

2024

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Collaboration, co-production, coopetition and coordination: a case study of European 'bridge organisations' in Silicon Valley

International journal of transitions and innovation systems, 2015, Vol.4 (3/4), p.164

2015

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Wsparcie internacjonalizacji jako oś integrująca polityki innowacyjności i przedsiębiorczości. Część II — Perspektywa technologicznych startupów

Przegląd Organizacji, 2018-01, p.7-14

2018

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Developing a Methodology for Building the Knowledge Base and Application Procedures Supporting the Process of Material and Technological Conversion

Selection of Casting Materials for Working Parts of Machines for the Forestry Sector

Structural stability of thin-walled austempered ductile iron castings

Comparison of the Classical Algorithm with the Training Algorithm in Scheduling Problem ADI Production

Selection of materials and development of technology for the production of elements used in conditions of extreme tribological wear

Selection of Casting Materials for Working Parts of Machines for the Forestry Sector

Comparison of the Classical Algorithm with the Training Algorithm in Scheduling Problem ADI Production

Bunt i nostalgia. Filmy dokumentalne o festiwalu w Jarocinie

Dźwięk i znaczenie w Truposzu Jima Jarmuscha

Dźwięk i znaczenie w Truposzu Jima Jarmuscha

Influence of the Cooling Rate on Mechanical and Corrosion Properties of Ferritic Si–Mo Ductile Cast Iron

Decision Support Tool in the Selection of Powder for 3D Printing

Analysis of the Possibility of Using Selected Tools and Algorithms in the Classification and Recognition of Type of Microstructure

Analyze the Wear Mechanism of the Longwall Shearer Haulage System

Assessment of the Quality and Mechanical Parameters of Castings Using Machine Learning Methods

Optimization of mechanical properties of complex, two-stage heat treatment of Cu-Ni

Development of a CT Image Analysis Model for Cast Iron Products Based on Artificial Intelligence Methods

Optimization of mechanical properties of complex, two-stage heat treatment of Cu–Ni (Mn, Mo) austempered ductile iron

Improving the Wear Resistance of High Chromium Cast Iron through High Entropy Alloys Concepts and Microstructure Refinement

Modification of Casting Production Parameters in Order to Obtain Products with the Assumed Parameters with Using Machine Learning

Analysis of Thermal Interactions in the Slag Pots for Transporting Copper Slags

Selection of casting production parameters with the use of machine learning and data supplementation methods in order to obtain products with the assumed parameters

Analysis of the Possibility of Making a Digital Twin for Devices Operating in Foundries

Collaboration, co-production, coopetition and coordination: a case study of European 'bridge organisations' in Silicon Valley

Wsparcie internacjonalizacji jako oś integrująca polityki innowacyjności i przedsiębiorczości. Część II — Perspektywa technologicznych startupów

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