All Stories

  1. Machine Learning Prediction Techniques in the Optimization of Diagnostic Laboratories’ Network Operations
  2. Prediction of Temperature of Liquid Steel in Ladle Using Machine Learning Techniques
  3. The Use of the XGBoost and Kriging Methods in the Prediction of the Microstructure of CGI Cast Iron
  4. Artificial Neural Networks as a Tool for Supporting a Moulding Sand Control System Based on the Dependency between Selected Moulding Sand Properties
  5. Comparing deterministic and statistical approaches for predicting �short can� defects in aluminium beverage can production
  6. Cyber-physical System Supporting the Production Technology of Steel Mill Products Based on Ladle Furnace Tracking and Sensor Networks
  7. Data-Driven Model Selection for Compacted Graphite Iron Microstructure Prediction
  8. Clinical and Polysomnographic Features Associated with Poor Sleep Quality in Patients with Obstructive Sleep Apnea
  9. Influence of Materials Parameters of the Coil Sheet on the Formation of Defects during the Manufacture of Deep-Drawn Cups
  10. Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
  11. Machine Learning Studies in Materials Science
  12. Eksploracja danych i uczenie maszynowe w aspektach pozyskiwania wiedzy o produkcji i przetwarzaniu metali na potrzeby Przemysłu 4.0
  13. Overweight is associated with better prognosis in metastatic colorectal cancer patients treated with bevacizumab plus FOLFOX chemotherapy
  14. Data Mining Methods for Prediction of Multi-Component Al-Si Alloy Properties Based on Cooling Curves
  15. Medical data exploration based on the heterogeneous data sources aggregation system
  16. Development of an Approximation Model of Selected Properties of Model Materials Used for Simulations of Bulk Metal Plastic Forming Processes Using Induction of Decision Trees
  17. Multistage discretization and clustering in multivariable classification of the impact of alloying elements on properties of hypoeutectic silumin
  18. Application of Selected Artificial Intelligence Methods in a System Predicting the Microstructure of Compacted Graphite Iron
  19. The Selection of Heat Treatment Parameters to Obtain Austempered Ductile Iron with the Required Impact Strength
  20. Systematic coronary risk evaluation among obstructive sleep apnea patients
  21. Data mining tools in identifying the components of the microstructure of compacted graphite iron based on the content of alloying elements
  22. The system for integration of heterogeneous data sources in the domain of Obstructive Sleep Apnea
  23. Approximation of Ausferrite Content in the Compacted Graphite Iron with the Use of Combined Techniques of Data Mining
  24. Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing
  25. Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques
  26. Application of Industry 4.0 mechanisms in medicine on the example of an integrated support system for treatment of Obstructive Sleep Apnea (OSA)
  27. Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys
  28. Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector machine
  29. Computer-Assisted Methods of the Design of New Materials in the Domain of Copper Alloy Manufacturing
  30. Heuristic modeling of casting processes under the conditions uncertainty
  31. Methods of Computational Intelligence in the Context of Quality Assurance in Foundry Products
  32. Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties
  33. The Prediction of Moulding Sand Moisture Content Based on the Knowledge Acquired by Data Mining Techniques
  34. Austempered Ductile Iron Manufacturing Data Acquisition Process with the Use of Semantic Techniques
  35. Computer Advisory System in the Domain of Copper Alloys Manufacturing
  36. Intelligent Advisory System for Support of Production Process Design in the Domain of Metal Forming
  37. Wspomaganie decyzji w zakresie optymalizacji walcowania blach na gorąco z wykorzystaniem metod eksploracji danych
  38. The Use of Formal Knowledge Representation in Operating on Resources Concerning Cast Iron Processing
  39. Methodology for the Construction of a Rule-Based Knowledge Base Enabling the Selection of Appropriate Bronze Heat Treatment Parameters Using Rough Sets
  40. Codification as Part of Knowledge Management in Research Projects in the Field of Metallurgy
  41. Process of Ontology Construction of Rolling Metal Sheets Industrial Process
  42. Application of Regression Trees in Optimization of Metal Forming Process
  43. Data Exploration Approach Versus Sensitivity Analysis for Optimization of Metal Forming Processes
  44. The Decision Support System in the Domain of Casting Defects Diagnosis
  45. The Implementation of Computer Platform for Foundries Cooperating in a Supply Chain
  46. A Method to Make Classification of the Heat Treatment Processes Performed on Bronze Using Incomplete Knowledge
  47. Computer-Assisted Integration of Knowledge in the Context of Identification of the Causes of Defects in Castings
  48. Formalisms and Tools for Knowledge Integration Using Relational Databases
  49. ADI after Austenitising from Intercritical Temperature
  50. The Framework of Agent-based Negotiation Platform for Foundries Cooperating in Supply Chain
  51. System of Semantic Integration of Non-Structuralized Documents in Natural Language in the Domain of Metallurgy
  52. Overview of Activities on the Internet Devoted to Casting Technology
  53. Multi-aspect Character of the Man-Computer Relationship in a Diagnostic-Advisory System
  54. A Procedure for in situ Identification of the Intermetallic AlTMSi Phase Precipitates in the Microstructure of the Aluminum Alloys
  55. Rough Sets Applied to the RoughCast System for Steel Castings
  56. Practical Aspects of Knowledge Integration Using Attribute Tables Generated from Relational Databases