Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Azarmehr, A."'
Consider the following stochastic matching problem. Given a graph $G=(V, E)$, an unknown subgraph $G_p = (V, E_p)$ is realized where $E_p$ includes every edge of $E$ independently with some probability $p \in (0, 1]$. The goal is to query a sparse su
Externí odkaz:
http://arxiv.org/abs/2411.08805
Autor:
Azarmehr, Amir, Behnezhad, Soheil, Jayaram, Rajesh, Łącki, Jakub, Mirrokni, Vahab, Zhong, Peilin
We study the minimum spanning tree (MST) problem in the massively parallel computation (MPC) model. Our focus is particularly on the *strictly sublinear* regime of MPC where the space per machine is $O(n^\delta)$. Here $n$ is the number of vertices a
Externí odkaz:
http://arxiv.org/abs/2408.06455
Maximum matching is one of the most fundamental combinatorial optimization problems with applications in various contexts such as balanced clustering, data mining, resource allocation, and online advertisement. In many of these applications, the inpu
Externí odkaz:
http://arxiv.org/abs/2406.07630
We study maximum matchings in fully dynamic graphs, which are graphs that undergo both edge insertions and deletions. Our focus is on algorithms that estimate the size of maximum matching after each update while spending a small time. An important qu
Externí odkaz:
http://arxiv.org/abs/2307.08772
Autor:
Azarmehr, Amir, Behnezhad, Soheil
We study the robust communication complexity of maximum matching. Edges of an arbitrary $n$-vertex graph $G$ are randomly partitioned between Alice and Bob independently and uniformly. Alice has to send a single message to Bob such that Bob can find
Externí odkaz:
http://arxiv.org/abs/2305.01070
Autor:
Tayebeh Azarmehr, Fereshte Sargolzaei, Mahboobe Doostkami, Mohammadreza Azizi, Najmeh Ghiami Keshtgar
Publikováno v:
Journal of Preventive and Complementary Medicine, Vol 3, Iss 1, Pp 29-35 (2024)
Background: Deep vein thrombosis (DVT) is a prevalent and potentially fatal complication that can occur in patients following surgical procedures. It is crucial to identify risk factors in order to prevent DVT or intervene early.Objectives: This stud
Externí odkaz:
https://doaj.org/article/0657a11d46fb4292a379b76e2b1d7877
Autor:
Alajrami, Eman, Ng, Tiffany, Jevsikov, Jevgeni, Naidoo, Preshen, Fernandes, Patricia, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Dadashi Serej, Nasim, Francis, Darrel P., Zolgharni, Massoud
Publikováno v:
In Computer Methods and Programs in Biomedicine May 2024 248
Autor:
Jevsikov, Jevgeni, Ng, Tiffany, Lane, Elisabeth S., Alajrami, Eman, Naidoo, Preshen, Fernandes, Patricia, Sehmi, Joban S., Alzetani, Maysaa, Demetrescu, Camelia D., Azarmehr, Neda, Serej, Nasim Dadashi, Stowell, Catherine C., Shun-Shin, Matthew J., Francis, Darrel P., Zolgharni, Massoud
Publikováno v:
In Computers in Biology and Medicine March 2024 171
Autor:
Davoudi, Mohammadreza1, Azarmehr, Tayebeh2, Abdoli, Fatemeh1, Sadeghi, AmirHossein3, Inanloo, Sarah Salehi1, Momeni, Fereshte1, Khalili, Zahra1, Aliyaki, Sahar1 h.aliyaki67@gmail.com
Publikováno v:
Addiction & Health. May2024, Vol. 16 Issue 2, p76-82. 7p.
Autor:
Azarmehr, Neda, Ye, Xujiong, Janan, Faraz, Howard, James P, Francis, Darrel P, Zolgharni, Massoud
Publikováno v:
MIDL/2019/ExtendedAbstract/Sye8klvmcN; MyUni-UID
Following the successful application of the U-Net to medical images, there have been different encoder-decoder models proposed as an improvement to the original U-Net for segmenting echocardiographic images. This study aims to examine the performance
Externí odkaz:
http://arxiv.org/abs/2003.07628