| Paper ID | SiG-DML_P2.7 | ||
| Paper Title | ACOUSTIC TEMPERATURE TOMOGRAPHY USING A UNET BASED DEEP LEARNING APPROACH | ||
| Authors | Messay Tafesse Tamire, Venkata Pathuri-Bhuvana, Bernhard Lehner, Silicon Austria Labs, Austria; Stefan Schuster, voestalpine Stahl GmbH, Austria; Andreas Och, Infineon Technologies Austria AG, Austria; Muhammad Nadeem Akram, University of South-Eastern Norway, Norway | ||
| Session | SiG-DML_P2: Applications of Machine Learning | ||
| Location | Poster Area 2 | ||
| Session Time | Wednesday, 31 August, 14:00 - 15:40 | ||
| Topic | SiG-DML - Signal and Data Analytics for Machine Learning | ||