Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mikhail Mikerov"'
Autor:
Juan J, Pautasso, Marco, Caballo, Mikhail, Mikerov, John M, Boone, Koen, Michielsen, Ioannis, Sechopoulos
Publikováno v:
Medical physics. AAPM-American Association of Physicists in Medicine
Accurate correction of x-ray scatter in dedicated breast computed tomography (bCT) imaging may result in improved visual interpretation and is crucial to achieve quantitative accuracy during image reconstruction and analysis.To develop a deep learnin
Publikováno v:
Medical Imaging 2022: Image Processing.
Publikováno v:
IEEE Transactions on Terahertz Science and Technology. 10:397-403
In this work, a new technique for the removal of water vapor absorption lines from terahertz signals based on deep neural networks is presented. The designed neural networks were trained on signals acquired under different air humidity, with and with
Publikováno v:
Optics express. 28(15)
Imaging using terahertz time-domain spectroscopy is a valuable diagnostic tool for material inspection. However, in the case of samples with inhomogeneous shape and composition, the reliable extraction of spatially varying dielectric properties can b
Autor:
Martin Koch, Mikhail Mikerov, Martin Kahlmeyer, Fatima Taleb, Eva-Maria Stübling, Andreas Winkel, Stefan Sommer, Stefan Böhm, Jochen Taiber
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811567667
The understanding of ageing processes in the field of adhesion technology is of utmost importance for long-term durable bonded joints. Environmental factors such as moisture, heat and UV radiation negatively affect the characteristics of adherends, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593819139928df35564abb30f49f2448
https://doi.org/10.1007/978-981-15-6767-4_7
https://doi.org/10.1007/978-981-15-6767-4_7
Publikováno v:
2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz).
We propose a new machine learning technique for post-measurement removal of the water vapor effects from THz-TDS signals. Our technique is based on neural networks. The execution time of our algorithm is very fast. We limit neural networks to produce
Publikováno v:
Optics express. 26(25)
We investigate the performance of terahertz (THz) quasi time-domain systems (QTDS) driven by electrically pulsed multi-mode laser diodes operating at 659 nm. We show that at the same average output power, a reduced duty cycle considerably increases t