Research output

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2024
Published
Accoustic Tool Condition Monitoring with Angular Resolution on the Cutting Edges
Ninevski, D., O'Leary, P., Pisowicz, T., Thaler, J. & Hagendorfer, E. J., 2024, 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (I2MTC 2024).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Instrumentation and Signal Processing for the Verification of Directional Drilling
O'Leary, P., Terbuch, A., Ninevski, D., Mevec, D., Fruhmann, R., Khalilimotlaghkasmaei, N. & Habacher, M., 2024, 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (I2MTC 2024).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2023
Published
Application of hybrid machine learning based quality control in daily site management
Zöhrer, A., Winter, V., Terbuch, A., O'Leary, P. & Khalilimotlaghkasmaei, N., 9 Oct 2023, Proceedings of the ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium : Challenges in Rock Mechanics and Rock Engineering. Salzburg, p. 569-574 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Modelling Periodic Measurement Data Having a Piecewise Polynomial Trend Using the Method of Variable Projection
Handler, J., Ninevski, D. & O'Leary, P., Oct 2023, IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning
Terbuch, A., O'Leary, P., Khalilimotlaghkasmaei, N., Auer, P., Zöhrer, A. & Winter, V., 12 Jan 2023, In: IEEE transactions on instrumentation and measurement. 72.2023, 13 p., 2503711.
Research output: Contribution to journal › Article › Research › peer-review
Published
A Rayleigh-Ritz Autoencoder
Terbuch, A., O'Leary, P., Ninevski, D., Hagendorfer, E. J., Schlager, E., Windisch, A. & Schweimer, C., 2023, 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (I2MTC 2023). Kuala Lumpur, Malaysia: Institute of Electrical and Electronics Engineers, p. 1-6
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Automatic Synthesis of Admissible Functions for Variational Learning
O'Leary, P., Ninevski, D. & Terbuch, A., 2023, 2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2023). Institute of Electrical and Electronics Engineers
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Instrumented Milling Process and Analysis for Tool Wear Measurement
Ninevski, D., Yifrach, Y. & O'Leary, P., 2023, 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (I2MTC 2023). Kuala Lumpur, Malaysia: Institute of Electrical and Electronics Engineers
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
The Rayleigh-Ritz Autoencoder with Distribution-Free Statistics
Terbuch, A., Ninevski, D., O'Leary, P., Harker, M. & Mücke, M., 2023.
Research output: Contribution to conference › Poster › Research › peer-review
2022
Published
Real-Time Identification of Periodic Signals using the Recursive Variable Projection Algorithm
Handler, J., Ninevski, D., Rollett, M. & O'Leary, P., 9 Dec 2022, IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. p. 1-6
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Research Portal

Research output

Accoustic Tool Condition Monitoring with Angular Resolution on the Cutting Edges

Instrumentation and Signal Processing for the Verification of Directional Drilling

Application of hybrid machine learning based quality control in daily site management

Modelling Periodic Measurement Data Having a Piecewise Polynomial Trend Using the Method of Variable Projection

Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning

A Rayleigh-Ritz Autoencoder

Automatic Synthesis of Admissible Functions for Variational Learning

Instrumented Milling Process and Analysis for Tool Wear Measurement

The Rayleigh-Ritz Autoencoder with Distribution-Free Statistics

Real-Time Identification of Periodic Signals using the Recursive Variable Projection Algorithm

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