Zobrazeno 1 - 10
of 3 494
pro vyhledávání: '"A. Ashtari"'
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:
S. M. Emami Meibodi, A. Ashtari
Publikováno v:
Interdisciplinary Studies in the Humanities, Vol 11, Iss 3, Pp 31-47 (2019)
A university based on a hundred-year history of teacher training centers was founded in the year 2000 under the name of "Farhangian University that the purpose is to provide, train and empower the teachers and staff of the Ministry of Education to pr
Externí odkaz:
https://doaj.org/article/85c4841a343644919a2609795b158d28
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:
Esfahani, A. Ashtari, Böser, S., Buzinsky, N., Carmona-Benitez, M. C., Cervantes, R., Claessens, C., de Viveiros, L., Fertl, M., Formaggio, J. A., Gaison, J. K., Gladstone, L., Grando, M., Guigue, M., Hartse, J., Heeger, K. M., Huyan, X., Jones, A. M., Kazkaz, K., Li, M., Lindman, A., Marsteller, A., Matthé, C., Mohiuddin, R., Monreal, B., Morrison, E. C., Mueller, R., Nikkel, J. A., Novitski, E., Oblath, N. S., Peña, J. I., Pettus, W., Reimann, R., Robertson, R. G. H., Saldaña, L., Schram, M., Slocum, P. L., Stachurska, J., Sun, Y. -H., Surukuchi, P. T., Telles, A. B., Thomas, F., Thomas, M., Thorne, L. A., Thümmler, T., Tvrznikova, L., Van De Pontseele, W., VanDevender, B. A., Weiss, T. E., Wendler, T., Zayas, E., Ziegler, A.
Publikováno v:
Machine Learning: Science and Technology, 5 (2024) 025026
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:
http://arxiv.org/abs/2402.13256
Publikováno v:
Iranian Journal of Animal Biosystematics, Vol 14, Iss 1, Pp 1-6 (2018)
This paper is a new report of a Holothuroidea (Apodida: Synaptidae: Protankyra) Protankyra psudodigitata from Persian Gulf. Specimen was collected by a Van Veen Grab from subtidal soft bottoms in May 2016. The specimen recorded was small measuring 12
Externí odkaz:
https://doaj.org/article/dd85b16808384fefa0de7ab2456bc884