40 results on '"Shevchik, Sergey"'
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2. Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning
3. Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring
4. Monitoring of Direct Energy Deposition Process Using Manifold Learning and Co-Axial Melt Pool Imaging
5. In situ quality monitoring in direct energy deposition process using co-axial process zone imaging and deep contrastive learning
6. Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
7. Two-view 3D Reconstruction for Food Volume Estimation
8. Artificial Intelligence for Monitoring and Control of Metal Additive Manufacturing
9. Smart closed-loop control of laser welding using reinforcement learning
10. Analysis of time, frequency and time-frequency domain features from acoustic emissions during Laser Powder-Bed fusion process
11. Correlation of signal feature importance and process parameters in water jet-guided laser cutting
12. 3D reconstruction of cracks propagation in mechanical workpieces analyzing non-stationary acoustic mixtures
13. Artificial Intelligence for Monitoring and Control of Metal Additive Manufacturing
14. Author Correction: Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance
15. Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance
16. Monitoring of functionally graded material during laser directed energy deposition by acoustic emission and optical emission spectroscopy using artificial intelligence
17. Influence of root and non-root sulfur fertilization on the yield and quality of spring wheat grain
18. Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning
19. Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions
20. Machine learning monitoring for laser osteotomy
21. Acoustic emission and machine learning for in situ monitoring of a gold–copper ore weakening by electric pulse
22. Sensitivity Analysis of Acoustic Emission Detection Using Fiber Bragg Gratings with Different Optical Fiber Diameters
23. Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review
24. Adaptive Laser Welding Control: A Reinforcement Learning Approach
25. Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission
26. Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel
27. Acoustic Emission forIn SituMonitoring of Solid Materials Pre-Weakening by Electric Discharge: A Machine Learning Approach
28. Prediction of Failure in Lubricated Surfaces Using Acoustic Time–Frequency Features and Random Forest Algorithm
29. Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation
30. Two-View 3D Reconstruction for Food Volume Estimation
31. Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study
32. 35 - Acoustic Emission for in situ monitoring of laser processing.
33. 33 - When AE (Acoustic Emission) meets AI (Artificial Intelligence) II.
34. Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones
35. Prediction of Failure in Lubricated Surfaces Using Acoustic Time?Frequency Features and Random Forest Algorithm.
36. Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation
37. Photodynamic therapy for treatment subretinal neovascularization
38. Photodynamic therapy for treatment subretinal neovascularization.
39. Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions.
40. Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study
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