Zobrazeno 1 - 10
of 4 404
pro vyhledávání: '"Kazemzadeh, A."'
Autor:
Salmankhah, Amirparsa, Rajabi, Amirreza, Kheirmand, Negin, Fadaeimanesh, Ali, Tarabkhah, Amirreza, Kazemzadeh, Amirreza, Farbeh, Hamed
Sign Language Recognition (SLR) is a fast-growing field that aims to fill the communication gaps between the hearing-impaired and people without hearing loss. Existing solutions for Persian Sign Language (PSL) are limited to word-level interpretation
Externí odkaz:
http://arxiv.org/abs/2406.16388
In this study the effects of Joule heating parameter on entropy generation and heat transfer in MHD flow inside a channel is investigated by means of Physics-Informed Neural Networks (PINNs) in form of a parametric analysis in addition to exploring t
Externí odkaz:
http://arxiv.org/abs/2406.15810
Raman spectroscopy is a label-free, chemically specific optical technique which provides detailed information about the chemical composition and structure of the excited analyte. Because of this, there is growing research interest in miniaturizing Ra
Externí odkaz:
http://arxiv.org/abs/2405.13681
In this study, fluid flow inside of an obstructed channel under the influence of magnetic field has been analyzed using physics informed neural networks(PINNs). Governing equations have been utilized in low-order form and the solution has been obtain
Externí odkaz:
http://arxiv.org/abs/2404.17261
Autor:
Pasquale, Angelo, Kazemzadeh-Parsi, Mohammad-Javad, Di Lorenzo, Daniele, Champaney, Victor, Ammar, Amine, Chinesta, Francisco
In the present work, a new methodology is proposed for building surrogate parametric models of engineering systems based on modular assembly of pre-solved modules. Each module is a generic parametric solution considering parametric geometry, material
Externí odkaz:
http://arxiv.org/abs/2403.09312
Autor:
Collard, Liam, Kazemzadeh, Mohammadrahim, Piscopo, Linda, De Vittorio, Massimo, Pisanello, Ferruccio
Artificial intelligence has emerged as promising tool to decode a phase image transmitted through a multimode fiber (MMF) by applying deep learning techniques. By transmitting tens of thousands of images through the MMF, deep neural networks (DNNs) a
Externí odkaz:
http://arxiv.org/abs/2309.15532
Autor:
Xu, Shawn, Yang, Lin, Kelly, Christopher, Sieniek, Marcin, Kohlberger, Timo, Ma, Martin, Weng, Wei-Hung, Kiraly, Atilla, Kazemzadeh, Sahar, Melamed, Zakkai, Park, Jungyeon, Strachan, Patricia, Liu, Yun, Lau, Chuck, Singh, Preeti, Chen, Christina, Etemadi, Mozziyar, Kalidindi, Sreenivasa Raju, Matias, Yossi, Chou, Katherine, Corrado, Greg S., Shetty, Shravya, Tse, Daniel, Prabhakara, Shruthi, Golden, Daniel, Pilgrim, Rory, Eswaran, Krish, Sellergren, Andrew
In this work, we present an approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned image encoder combined or grafted onto a fixed LLM, PaLM 2, to perform a broad range of chest X-ray tasks. W
Externí odkaz:
http://arxiv.org/abs/2308.01317
Autor:
Mohammad Rostamani, Mehdi Bakht, Sara Rahimi, Safar Ali Alizadeh, Raana Kazemzadeh Anari, Mohadeseh Khakpour, Amir Javadi, Fatemeh Fardsanei, Farhad Nikkhahi
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Nosocomial infections are a global problem in hospitals all around the world. It is considered a major health problem, especially in developing countries. The increase in the patient’s stay in hospitals has increased the mortali
Externí odkaz:
https://doaj.org/article/91b11cb0d4324a8cbfe134206dcedd9e
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Platelets are critical in maintaining homeostasis and immune response in burn patients. The concentration of platelets decreases in burn patients, and any intervention that increases serum platelet concentration can prevent seriou
Externí odkaz:
https://doaj.org/article/2ba451fd611340d683a0a7b86d930d62
Autor:
Niraj Khemka, Gareth Morris, Laleh Kazemzadeh, Lara S. Costard, Valentin Neubert, Sebastian Bauer, Felix Rosenow, Morten T. Venø, Jørgen Kjems, David C. Henshall, Jochen H. M. Prehn, Niamh M. C. Connolly
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Epileptogenesis is the process by which a normal brain becomes hyperexcitable and capable of generating spontaneous recurrent seizures. The extensive dysregulation of gene expression associated with epileptogenesis is shaped, in part, by mic
Externí odkaz:
https://doaj.org/article/aec36402be9d4848857dd99eb744d751