S. Shevchik

发表

Acoustic emission for in situ quality monitoring in additive manufacturing using spectral convolutional neural networks

S. Shevchik, C. Kenel, C. Leinenbach, 2017 .

In Situ and Real-Time Monitoring of Powder-Bed AM by Combining Acoustic Emission and Artificial Intelligence

Kilian Wasmer, Christian Leinenbach, S. A. Shevchik, 2017 .

Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study

Ransford Henry Botwey, S. Shevchik, P. Diem, 2016, Journal of medical Internet research.

In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach

S. A. Shevchik, K. Wasmer, S. Shevchik, 2018, Journal of Materials Engineering and Performance.

Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

S. Shevchik, K. Wasmer, T. Tjahjowidodo, 2020 .

ACOUSTIC EMISSION FOR IN SITU MONITORING OF LASER PROCESSING

S. Shevchik, K. Wasmer, B. Meylan, 2018 .

Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach

Margie P. Olbinado, Sergey A. Shevchik, Kilian Wasmer, 2018 .

When AE (Acoustic Emission) meets AI (Artificial Intelligence)

S. Shevchik, K. Wasmer, F. Saeidi, 2017 .

Device for fluorescent control and photodynamic therapy of age-related macula degeneration

Victor B. Loschenov, Sergey S. Kharnas, Gennadii A. Meerovich, 2004, Advanced Laser Technologies.

A computer vision-based Smartphone system for carbohydrate counting

Ransford Henry Botwey, S. Shevchik, P. Diem, 2015 .

Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones

Marios Anthimopoulos, Joachim Dehais, Peter Diem, 2015, Journal of diabetes science and technology.

Piezo acoustic versus opto-acoustic sensors in laser processing

S. Shevchik, K. Wasmer, T. Le-Quang, 2019 .

Adaptive Laser Welding Control: A Reinforcement Learning Approach

Kilian Wasmer, Sergey A. Shevchik, Silvio Zanoli, 2020, IEEE Access.

Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance

Bastian Meylan, Kilian Wasmer, Christian Leinenbach, 2020, Scientific Reports.

Why is in situ quality control of laser keyhole welding a real challenge

Margie P. Olbinado, Kilian Wasmer, Alexander Rack, 2018 .

Monitoring of friction-related failures using diffusion maps of acoustic time series

Sergey A. Shevchik, Silvio Zanoli, F. Saeidi, 2021 .

Monitoring of functionally graded material during laser directed energy deposition by acoustic emission and optical emission spectroscopy using artificial intelligence

S. Shevchik, K. Wasmer, V. Pandiyan, 2023, Virtual and Physical Prototyping.

Prediction of Failure in Lubricated Surfaces Using Acoustic Time–Frequency Features and Random Forest Algorithm

Sergey A. Shevchik, Bastian Meylan, Kilian Wasmer, 2017, IEEE Transactions on Industrial Informatics.

In situ quality monitoring in direct energy deposition process using co-axial process zone imaging and deep contrastive learning

S. Shevchik, K. Wasmer, V. Pandiyan, 2022, Journal of Manufacturing Processes.

Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning

S. Shevchik, K. Wasmer, R. Logé, 2022, Virtual and Physical Prototyping.

Deep Transfer Learning of Additive Manufacturing Mechanisms Across Materials in Metal-Based Laser Powder Bed Fusion Process

S. Shevchik, K. Wasmer, R. Logé, 2022, Journal of Materials Processing Technology.

Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions

S. Shevchik, K. Wasmer, R. Logé, 2021, Virtual and Physical Prototyping.

Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance

Farzad Vakili Farahani, S. Shevchik, C. Leinenbach, 2020, Scientific Reports.

Analysis of time, frequency and time-frequency domain features from acoustic emissions during Laser Powder-Bed fusion process

Sergey A. Shevchik, Kilian Wasmer, Roland E. Logé, 2020, Procedia CIRP.

Acoustic Emission for In Situ Monitoring of Solid Materials Pre-Weakening by Electric Discharge: A Machine Learning Approach

Sergey A. Shevchik, Bastian Meylan, Abbas Mosaddeghi, 2018, IEEE Access.

Two-View 3D Reconstruction for Food Volume Estimation

Marios Anthimopoulos, Stavroula G. Mougiakakou, Joachim Dehais, 2017, IEEE Transactions on Multimedia.

Acoustic emission and machine learning for in situ monitoring of a gold–copper ore weakening by electric pulse

Abbas Mosaddeghi, Sergey A. Shevchik, B. Meylan, 2021, Journal of Cleaner Production.

Automatic detection of scuffing using acoustic emission

Kilian Wasmer, F. Saeidi, S. A. Shevchik, 2016 .

Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission

Kilian Wasmer, Christian Leinenbach, S. A. Shevchik, 2019, IEEE Transactions on Industrial Informatics.

Artificial Intelligence for Monitoring and Control of Metal Additive Manufacturing

Sergey A. Shevchik, Kilian Wasmer, Kilian Wasmer, 2020 .

Author Correction: Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance

Bastian Meylan, Kilian Wasmer, Christian Leinenbach, 2020, Scientific Reports.

Machine learning monitoring for laser osteotomy

S. Shevchik, K. Wasmer, P. Cattin, 2020, Journal of biophotonics.

Food volume computation for self dietary assessment applications

Stavroula G. Mougiakakou, Joachim Dehais, Sergey Shevchik, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel

Sergey A. Shevchik, Bastian Meylan, Kilian Wasmer, 2019, IEEE Access.

Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation

Philippe C. Cattin, Kilian Wasmer, B. Meylan, 2017, European Conference on Biomedical Optics.