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2. An adaptive control method for real time scheduling of manufacturing cells

3. Identification of manufacturing cell dynamics using recurrent neural networks

5. Identification of the compositional path followed during reservoir simulation improves the accuracy and accelerates the phase behavior calculations

6. An improved BIP matrix decomposition method for reduced flash calculations

7. A novel approach for the characterization of aromatics in petroleum fractions using HPLC-UV-DAD and evolving factor analysis

8. A fast and robust method for solving the mass-balance equation in phase-split calculations

9. Deconvolution of overlapping HPLC aromatic hydrocarbons peaks using Independent Component Analysis ICA

10. Determining manufacturing cell topology using neural networks

11. An improved method for the separation of aromatic groups in heavy petroleum fractions by HPLC analysis

12. Manufacturing education: the hellenic experience

13. A neural network approach in manufacturing cell dynamics modeling

14. Discrete event complex systems: scheduling with neural networks

15. Manufacturing systems modeling using neural networks

16. Sensitivity controlled neural networks for the prediction of PVT properties exhibit equation of state like behavior

17. Response calculation of rotating rotor-bearing system using a simplified modal analysis

18. Octane number prediction and optimization for gasoline blends using artificial neural networks

19. Dynamic neural networks for real time manufacturing cell scheduling

20. Sensitivity controlled neural networks for the prediction of thermodynamic properties of fluids

22. An accurate method to generate composite PVT data for black oil simulation

23. Modal analysis on piecewise linear journal bearings under seismic excitation

24. Neural nets and multichannel image processing applications

25. Characterization of oil spills in the environment using parallel factor (PARAFAC) multiway analysis

26. Applying high order neural nets to adaptively control manufacturing systems - a comparison with existing techniques

28. A neural adaptive control technique for manufacturing cell scheduling

29. Accurate determination of aromatic groups in heavy petroleum fractions using HPLC-UV-DAD

30. Independent Component Analysis (ICA) in the deconvolution of overlapping HPLC aromatic peaks of oil

31. An integrated approach for rapid phase behavior calculations in compositional modeling

32. The risk of non-physically sound tuned cubic EoS models: critical appraisal and remedies

33. Αυτοματοποιημένη μέθοδος ρύθμισης καταστατικών εξισώσεων με χρήση καθολικής βελτιστοποίησης και φυσικών περιορισμών

34. Gas hydrate reservoirs: Detection, simulation and production technologies

35. Sensitivity analysis of the PVT data accuracy to well performance

36. Feasibility of industrial internet of things (IIoT) in flow assurance and production engineering

37. Σύγκριση διατρησιμότητας ασβεστολιθικών και ψαμμιτικών πετρωμάτων για γεωτρήσεις υδρογονανθράκων με τη βοήθεια του λογισμικού PayZone

38. Deconvolution of IR signals from oil characterization and prediction of properties

39. Μελέτη ευαισθησίας βασικών ιδιοτήτων PVT πετρελαίων ως προς τις θερμοδυναμικές ιδιότητες των βαρέων συστατικών

40. Design of the full casing program in a deviated well

41. Ανάπτυξη μοντέλου ΑΝΝ για τη πρόβλεψη των ογκομετρικών συντελεστών Βο,Rs και της πίεσης στο σημείο φυσαλίδας-κορεσμού pb πετρελαίων σε συνθήκες ταμιευτήρα

42. Reliability of equilibrium coefficients predicting methods

43. Pressure maintenance in oil production pipelines: equipment and simulation

44. Basic design of gas process train in upstream facilities

45. Comparison of eclipse and tNavigator

46. Investigation of the use of EOR methods in a given reservoir

47. Basic design and simulation of gas production pipelines

48. Optimization of petroleum production under industrial constraints using alternative objective functions and adjoint gradient-based techniques

49. Comparison of hydrates formation modeling software performance

50. Performance of multivariate clustering methods in oil families' identification

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