Zobrazeno 1 - 10
of 3 520
pro vyhledávání: '"A Ashtari"'
Autor:
A Ashtari Esfahani, S Böser, N Buzinsky, M C Carmona-Benitez, R Cervantes, C Claessens, L de Viveiros, M Fertl, J A Formaggio, J K Gaison, L Gladstone, M Grando, M Guigue, J Hartse, K M Heeger, X Huyan, A M Jones, K Kazkaz, M Li, A Lindman, A Marsteller, C Matthé, R Mohiuddin, B Monreal, E C Morrison, R Mueller, J A Nikkel, E Novitski, N S Oblath, J I Peña, W Pettus, R Reimann, R G H Robertson, L Saldaña, M Schram, P L Slocum, J Stachurska, Y-H Sun, P T Surukuchi, A B Telles, F Thomas, M Thomas, L A Thorne, T Thümmler, L Tvrznikova, W Van De Pontseele, B A VanDevender, T E Weiss, T Wendler, E Zayas, A Ziegler
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025026 (2024)
The objective of the cyclotron radiation emission spectroscopy (CRES) technology is to build precise particle energy spectra. This is achieved by identifying the start frequencies of charged particle trajectories which, when exposed to an external ma
Externí odkaz:
https://doaj.org/article/0c18907a11204332a75d95e50634ce09
Autor:
Ashtari, Reza, Stevenson, Kevin B., Sing, David, Lopez-Morales, Mercedes, Alam, Munazza K., Nikolov, Nikolay K., Evans-Soma, Thomas M.
Producing optimized and accurate transmission spectra of exoplanets from telescope data has traditionally been a manual and labor-intensive procedure. Here we present the results of the first attempt to improve and standardize this procedure using ar
Externí odkaz:
http://arxiv.org/abs/2410.06804
Autor:
Rezazadeh, Farhad, Gargari, Amir Ashtari, Lagén, Sandra, Mangues, Josep, Niyato, Dusit, Liu, Lingjia
The move toward Sixth-Generation (6G) networks relies on open interfaces and protocols for seamless interoperability across devices, vendors, and technologies. In this context, open 6G development involves multiple disciplines and requires advanced s
Externí odkaz:
http://arxiv.org/abs/2408.13781
Autor:
Ashtari, Pooya, Behmandpoor, Pourya, Haredasht, Fateme Nateghi, Chen, Jonathan H., Patrinos, Panagiotis, Van Huffel, Sabine
Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomposition (SVD), both of which represent image data in continuous domain
Externí odkaz:
http://arxiv.org/abs/2408.12691
Publikováno v:
ACM Transactions on Graphics (TOG) 2023, Volume 42, Issue 4 Article No.: 56, Pages 1 - 12
Sketches reflect the drawing style of individual artists; therefore, it is important to consider their unique styles when extracting sketches from color images for various applications. Unfortunately, most existing sketch extraction methods are desig
Externí odkaz:
http://arxiv.org/abs/2407.14026
Autor:
de la Rosa, Ezequiel, Reyes, Mauricio, Liew, Sook-Lei, Hutton, Alexandre, Wiest, Roland, Kaesmacher, Johannes, Hanning, Uta, Hakim, Arsany, Zubal, Richard, Valenzuela, Waldo, Robben, David, Sima, Diana M., Anania, Vincenzo, Brys, Arne, Meakin, James A., Mickan, Anne, Broocks, Gabriel, Heitkamp, Christian, Gao, Shengbo, Liang, Kongming, Zhang, Ziji, Siddiquee, Md Mahfuzur Rahman, Myronenko, Andriy, Ashtari, Pooya, Van Huffel, Sabine, Jeong, Hyun-su, Yoon, Chi-ho, Kim, Chulhong, Huo, Jiayu, Ourselin, Sebastien, Sparks, Rachel, Clèrigues, Albert, Oliver, Arnau, Lladó, Xavier, Chalcroft, Liam, Pappas, Ioannis, Bertels, Jeroen, Heylen, Ewout, Moreau, Juliette, Hatami, Nima, Frindel, Carole, Qayyum, Abdul, Mazher, Moona, Puig, Domenec, Lin, Shao-Chieh, Juan, Chun-Jung, Hu, Tianxi, Boone, Lyndon, Goubran, Maged, Liu, Yi-Jui, Wegener, Susanne, Kofler, Florian, Ezhov, Ivan, Shit, Suprosanna, Petzsche, Moritz R. Hernandez, Menze, Bjoern, Kirschke, Jan S., Wiestler, Benedikt
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a
Externí odkaz:
http://arxiv.org/abs/2403.19425
We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN. Inspired by the success of recent unconditional video generation, we leverage a powerful pre-trained image generator to synthe
Externí odkaz:
http://arxiv.org/abs/2403.14186
Autor:
Yun, Kwan, Seo, Kwanggyoon, Seo, Chang Wook, Yoon, Soyeon, Kim, Seongcheol, Ji, Soohyun, Ashtari, Amirsaman, Noh, Junyong
Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention. While a few techniques have recently emerged that allow sketches to be extracted in different styles, they typically rely on a large
Externí odkaz:
http://arxiv.org/abs/2403.11263
Glaucoma, a leading cause of irreversible blindness, necessitates early detection for accurate and timely intervention to prevent irreversible vision loss. In this study, we present a novel deep learning framework that leverages the diagnostic value
Externí odkaz:
http://arxiv.org/abs/2403.05702
Autor:
A Ashtari Esfahani, Z Bogorad, S Böser, N Buzinsky, C Claessens, L de Viveiros, M Fertl, J A Formaggio, L Gladstone, M Grando, M Guigue, J Hartse, K M Heeger, X Huyan, J Johnston, A M Jones, K Kazkaz, B H LaRoque, M Li, A Lindman, C Matthé, R Mohiuddin, B Monreal, J A Nikkel, E Novitski, N S Oblath, J I Peña, W Pettus, R Reimann, R G H Robertson, G Rybka, L Saldaña, M Schram, P L Slocum, J Stachurska, Y-H Sun, P T Surukuchi, A B Telles, F Thomas, M Thomas, T Thümmler, L Tvrznikova, W Van De Pontseele, B A VanDevender, T E Weiss, T Wendler, E Zayas, A Ziegler
Publikováno v:
New Journal of Physics, Vol 24, Iss 5, p 053013 (2022)
Cyclotron radiation emission spectroscopy (CRES) is a modern approach for determining charged particle energies via high-precision frequency measurements of the emitted cyclotron radiation. For CRES experiments with gas within the fiducial volume, si
Externí odkaz:
https://doaj.org/article/5377238c6ee7434eb8106b850d1897bc