Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Omid Hosseini"'
Publikováno v:
Water Science and Technology, Vol 86, Iss 10, Pp 2593-2610 (2022)
The present study set out to investigate clindamycin (CLN) removal from aqueous solution using non-thermal plasma (NTP) under atmospheric air conditions and to address the effects of some variables including pH, initial concentration of CLN, and work
Externí odkaz:
https://doaj.org/article/43e492b6d4f44e999c457c15305aacc5
Autor:
Hamed Barabadi, Kiana Mobaraki, Kamyar Jounaki, Salar Sadeghian-Abadi, Hossein Vahidi, Reza Jahani, Hesam Noqani, Omid Hosseini, Fatemeh Ashouri, Salimeh Amidi
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16853- (2023)
This study showed the anti-candida, biofilm inhibitory, antioxidant, anticoagulant, and thrombolytic properties of biogenic silver nanoparticles (AgNPs) fabricated by using the supernatant of Penicillium fimorum (GenBank accession number OQ568180) is
Externí odkaz:
https://doaj.org/article/5330a8bddf2d4227a7464848705c67b4
Autor:
Yousef Darvishi, omid hosseini
Publikováno v:
نشریه جغرافیا و برنامهریزی, Vol 25, Iss 78, Pp 377-397 (2022)
Introduction Access to open spaces in urban areas is one of the important principles of passive defense. This is because of the large number of post-crisis casualties, mostly due to the inability to access outdoor space as well as the ability to esca
Externí odkaz:
https://doaj.org/article/4eee61660c85450aa91ac5366c79abbb
Autor:
Benjamin Daines, Sanjana Rao, Omid Hosseini, Sofia Prieto, John Abdelmalek, Mohamed Elmassry, Pooja Sethi, Victor Test, Kenneth Nugent
Publikováno v:
Journal of Community Hospital Internal Medicine Perspectives, Vol 11, Iss 6, Pp 787-792 (2021)
Background Chest radiographs can identify important abnormalities in patients undergoing diagnostic evaluation for cardiovascular diseases. Cardiomegaly often reflects cardiac chamber dilation, or cardiac muscle hypertrophy, or both conditions. The c
Externí odkaz:
https://doaj.org/article/ef49f07253294e7aae378a6e8cd5181d
Publikováno v:
Buildings, Vol 13, Iss 2, p 335 (2023)
The Australian construction industry is facing a mental health crisis; poor mental health indicators are significantly higher than the all-industry average. Despite a growing body of research into the mental health of the industry’s workforce, conc
Externí odkaz:
https://doaj.org/article/df209b9440944ef89271a5bdf9ed9d70
Autor:
Jafari, Omid Hosseini, Rother, Carsten
There are a variety of approaches to obtain a vast receptive field with convolutional neural networks (CNNs), such as pooling or striding convolutions. Most of these approaches were initially designed for image classification and later adapted to den
Externí odkaz:
http://arxiv.org/abs/2006.07742
This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images. This means that the method learns to ignore common, or uncommon, background stuff and focuses on objects. If mul
Externí odkaz:
http://arxiv.org/abs/1804.06423
Autor:
Jafari, Omid Hosseini, Mustikovela, Siva Karthik, Pertsch, Karl, Brachmann, Eric, Rother, Carsten
We address the task of 6D pose estimation of known rigid objects from single input images in scenarios where the objects are partly occluded. Recent RGB-D-based methods are robust to moderate degrees of occlusion. For RGB inputs, no previous method w
Externí odkaz:
http://arxiv.org/abs/1712.01924
Autor:
Jafari, Omid Hosseini, Groth, Oliver, Kirillov, Alexander, Yang, Michael Ying, Rother, Carsten
This paper addresses the task of designing a modular neural network architecture that jointly solves different tasks. As an example we use the tasks of depth estimation and semantic segmentation given a single RGB image. The main focus of this work i
Externí odkaz:
http://arxiv.org/abs/1702.08009
Pedestrian detection is one of the most popular topics in computer vision and robotics. Considering challenging issues in multiple pedestrian detection, we present a real-time depth-based template matching people detector. In this paper, we propose d
Externí odkaz:
http://arxiv.org/abs/1610.00748