Zobrazeno 1 - 10
of 2 785
pro vyhledávání: '"A. Koohi"'
Autor:
Ahmadnejad, Amirreza, Koohi, Somayyeh
This paper addresses the limitations in Optical Neural Networks (ONNs) related to training efficiency, nonlinear function implementation, and large input data processing. We introduce Two-Pass Forward Propagation, a novel training method that avoids
Externí odkaz:
http://arxiv.org/abs/2408.08337
Publikováno v:
مجله علوم و فنون هستهای, Vol 42, Iss 1, Pp 21-29 (2021)
In this paper, the plasma parameters of hydrogen glow discharge were measured using Langmuir probe system. To measure these parameters in Damavand tokamak, different parts of the Langmuir probe were designed and fabricated. The electrode used in this
Externí odkaz:
https://doaj.org/article/b0f204cb146c4c0296653029bfb6e1c8
Autor:
Esfahani, Mohsen Koohi, D'Antonio, Marco, Tauhidi, Syed Ibtisam, Mai, Thai Son, Vandierendonck, Hans
Comprehensive evaluation is one of the basis of experimental science. In High-Performance Graph Processing, a thorough evaluation of contributions becomes more achievable by supporting common input formats over different frameworks. However, each fra
Externí odkaz:
http://arxiv.org/abs/2404.19735
Background: Sequence comparison is essential in bioinformatics, serving various purposes such as taxonomy, functional inference, and drug discovery. The traditional method of aligning sequences for comparison is time-consuming, especially with large
Externí odkaz:
http://arxiv.org/abs/2311.12898
Neuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter challenges related to processing speed and thermal dissipation. As an
Externí odkaz:
http://arxiv.org/abs/2311.04558
Autor:
Esfahani, Mohsen Koohi, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna, Sebastiano
Progress in High-Performance Computing in general, and High-Performance Graph Processing in particular, is highly dependent on the availability of publicly-accessible, relevant, and realistic data sets. To ensure continuation of this progress, we (i)
Externí odkaz:
http://arxiv.org/abs/2308.16744
As deep neural networks include a high number of parameters and operations, it can be a challenge to implement these models on devices with limited computational resources. Despite the development of novel pruning methods toward resource-efficient mo
Externí odkaz:
http://arxiv.org/abs/2304.07461
Autor:
Reza Shahriarirad, Sarvin Seifbehzad, Amirhossein Erfani, Fatemeh Nekouei, Soheil Ashkani-Esfahani, Masood Hosseinzadeh, Nader Tanideh, Omid Koohi-Hosseinabadi, Bahador Sarkari
Publikováno v:
Journal of Coloproctology, Vol 44, Iss 03, Pp e156-e162 (2024)
Introduction Ulcerative colitis (UC) is an inflammatory bowel disease that causes long-lasting inflammation and ulcers within the digestive tract. This study aims to determine the histochemical alteration of Salvia officinalis (sage), an anti-inflamm
Externí odkaz:
https://doaj.org/article/5c0caca6342247b18171713db8591c7a
Motion sickness whilst reading as a passenger in the car is highly predictive of vestibular migraine
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundVestibular Migraine (VM) is a prevalent vestibular disorder, affecting up to 2.7% of the general population. Despite the establishment of diagnostic criteria by the Bárány Society and its inclusion in the International Classification of H
Externí odkaz:
https://doaj.org/article/5af6fa768ef348d79a671be03e1339a0
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/295bfced7f3541b08e70ca411ea1f413