Gonzalez de Vicente, S.M. Mazon, D. Xu, M. Pinches, S. Churchill, M. Dinklage, A. Fischer, R. Murari, A. Rodriguez-Fernandez, P. Stillerman, J.
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Published in
Nuclear Fusion
The objective of the Fourth Technical Meeting on Fusion Data Processing, Validation and Analysis was to provide a platform during which a set of topics relevant to fusion data processing, validation and analysis are discussed with the view of extrapolating needs to next step fusion devices such as ITER. The validation and analysis of experimental d...
Vargas, Juan M. Bahloul, Mohamed A. Laleg-Kirati, Taous-Meriem
Published in
Frontiers in Physiology
Carotid-to-femoral pulse wave velocity (cf-PWV) is considered a critical index to evaluate arterial stiffness. For this reason, estimating Carotid-to-femoral pulse wave velocity (cf-PWV) is essential for diagnosing and analyzing different cardiovascular diseases. Despite its broader adoption in the clinical routine, the measurement process of carot...
Raza, M. Q. Köckritz, Moritz von Sebilleau, Julien Colin, Catherine Zupančič, Matevž Bucci, Mattia Troha, Tadej Golobič, Iztok
Bubble removal from a solid surface is of significant importance to many technical processes and applications. In addition to the conventional buoyancy-aided bubble removal, there is also a passive strategy to remove bubbles from a solid surface via coalescence. However, likewise several processes, the coalescence-induced removal of bubbles from th...
Lakhal, Samy Darmon, Alexandre Benzaquen, Michael
Published in
Journal of Statistical Mechanics: Theory and Experiment
We address the problem of image color quantization using a maximum entropy based approach. Focusing on pixel mapping we argue that adding thermal noise to the system yields better visual impressions than that obtained from a simple energy minimization. To quantify this observation, we introduce the coarse-grained quantization error, and seek the op...
Ferrier, Renaud Bellis, Cédric
A stopping criterion for fast Fourier transform (FFT)-based iterative schemes in computational homogenization is proposed and investigated numerically. This criterion is based on the separate evaluation and comparison of the discretization and iteration errors on the computed fields. Some estimators for these errors are proposed and their performan...
Kim, Jungsoon Jung, Jihee Kim, Moojoon
Published in
Japanese Journal of Applied Physics
In this study, the amount of radicals generated by high-intensity ultrasound irradiation of TiO2 suspensions was evaluated through image processing to determine the degree of discoloration of methylene blue added to the suspension. It was found that 40 ml of distilled water, 0.2 g of H2O2 with a concentration of 50 mM, 5 g of TiO2 pellets with an a...
Della Ventura, Giancarlo Rabiee, Ahmad Marcelli, Augusto Macis, Salvatore D’Arco, Annalisa Iezzi, Gianluca Radica, Francesco Lucci, Federico
Published in
Frontiers in Chemistry
In this paper we describe the results obtained with a novel method to prepare depositions of asbestos fibres for toxicological tests in vitro. The technique is based on a micro-dispenser, working as an inkjet printer, able to deposit micro-sized droplets from a suspension of fibres in a liquid medium; we used here a highly evaporating liquid (ethan...
Vijay, Sanchit Guhan, Thejineaswar Srinivasan, Kathiravan Vincent, P. M. Durai Raj Chang, Chuan-Yu
Published in
Frontiers in Public Health
Brain tumor diagnosis has been a lengthy process, and automation of a process such as brain tumor segmentation speeds up the timeline. U-Nets have been a commonly used solution for semantic segmentation, and it uses a downsampling-upsampling approach to segment tumors. U-Nets rely on residual connections to pass information during upsampling; howev...
Toia, Giuseppe V Zamora, David A Singleton, Michael Liu, Arthur Tan, Edward Leng, Shuai Shuman, William P Kanal, Kalpana M Mileto, Achille
Published in
AJR. American journal of roentgenology
BACKGROUND. Iterative reconstruction (IR) techniques are susceptible to contrast-dependent spatial resolution, limiting overall radiation dose reduction potential. Deep learning image reconstruction (DLIR) may mitigate this limitation. OBJECTIVE. The purpose of our study was to evaluate low-contrast detectability performance and radiation-saving po...
Guler, Saygun Golparvar, Ata Ozturk, Ozberk Dogan, Huseyin Kaya Yapici, Murat
Published in
Biomedical Physics & Engineering Express
Remote photoplethysmography (rPPG) using camera-based imaging has shown excellent potential recently in vital signs monitoring due to its contactless nature. However, the optimum filter selection for pre-processing rPPG data in signal conditioning is still not straightforward. The best algorithm selection improves the signal-to-noise ratio (SNR) an...
