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pro vyhledávání: '"A. Ajil"'
Diffusion models are a remarkably effective way of learning and sampling from a distribution $p(x)$. In posterior sampling, one is also given a measurement model $p(y \mid x)$ and a measurement $y$, and would like to sample from $p(x \mid y)$. Poster
Externí odkaz:
http://arxiv.org/abs/2402.12727
Perceptual modification of voice is an elusive goal. While non-experts can modify an image or sentence perceptually with available tools, it is not clear how to similarly modify speech along perceptual axes. Voice conversion does make it possible to
Externí odkaz:
http://arxiv.org/abs/2312.08494
Diffusion-based generative models have been used as powerful priors for magnetic resonance imaging (MRI) reconstruction. We present a learning method to optimize sub-sampling patterns for compressed sensing multi-coil MRI that leverages pre-trained d
Externí odkaz:
http://arxiv.org/abs/2306.03284
Magnetic resonance imaging (MRI) exam protocols consist of multiple contrast-weighted images of the same anatomy to emphasize different tissue properties. Due to the long acquisition times required to collect fully sampled k-space measurements, it is
Externí odkaz:
http://arxiv.org/abs/2303.14795
Autor:
Ahmed Ajil
Publikováno v:
Journal for Deradicalization, Vol Summer 2024, Iss 39, Pp 129-158 (2024)
In the domain of PVE as well as reintegration, the most interesting studies are arguably based on material collected first-hand from the individuals involved in the phenomenon of political violence or terrorism. As more individuals from the 2013-2016
Externí odkaz:
https://doaj.org/article/b55cdf80c6aa437993dd8d3301a9af1b
Publikováno v:
Modelling, Vol 5, Iss 2, Pp 530-548 (2024)
The modeling of many problems of practical interest leads to nonlinear ill-posed equations (for example, the parameter identification problem (see the Numerical section)). In this article, we introduce a new source condition (SC) and a new parameter
Externí odkaz:
https://doaj.org/article/d7a30025bcdc4d05b5c18687ff266aeb
Magnetic Resonance Imaging (MRI) is a powerful medical imaging modality, but unfortunately suffers from long scan times which, aside from increasing operational costs, can lead to image artifacts due to patient motion. Motion during the acquisition l
Externí odkaz:
http://arxiv.org/abs/2211.00199
Autor:
Antony, Ajil1 ajil2227@gmail.com, Ravindran, Santhosh Kumar1, Jayan, N. P.1, Yadukrishna, S.1, Sebastian, Robbins1, Kumar, Akshay1, Shyamkumar, Shwetha1
Publikováno v:
Journal of Minimal Access Surgery. Jul-Sep2024, Vol. 20 Issue 3, p318-325. 8p.
Autor:
Ajil, Ahmed
Publikováno v:
Perspectives on Terrorism, 2023 Jun 01. 17(2), 74-91.
Externí odkaz:
https://www.jstor.org/stable/27255593
Autor:
Sreekumar, Anjana, M., Gayathri Mohan, C., Raksha, Nair, Ajil R., P., Manoj, Janardhanan, Jayakrishnan Aerathupalathu, Sivan, Akhil
Publikováno v:
In Journal of Molecular Structure 15 September 2024 1312 Part 1