Zobrazeno 1 - 10
of 1 932
pro vyhledávání: '"A. Asgarian"'
Autor:
Mahmoud Amiri Roudbar, Seyed Milad Vahedi, Jin Jin, Mina Jahangiri, Hossein Lanjanian, Danial Habibi, Sajedeh Masjoudi, Parisa Riahi, Sahand Tehrani Fateh, Farideh Neshati, Asiyeh Sadat Zahedi, Maryam Moazzam-Jazi, Leila Najd-Hassan-Bonab, Seyedeh Fatemeh Mousavi, Sara Asgarian, Maryam Zarkesh, Mohammad Reza Moghaddas, Albert Tenesa, Anoshirvan Kazemnejad, Hassan Vahidnezhad, Hakon Hakonarson, Fereidoun Azizi, Mehdi Hedayati, Maryam Sadat Daneshpour, Mahdi Akbarzadeh
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-12 (2024)
Abstract This study aims to assess the effect of familial structures on the still-missing heritability estimate and prediction accuracy of Type 2 Diabetes (T2D) using pedigree estimated risk values (ERV) and genomic ERV. We used 11,818 individuals (T
Externí odkaz:
https://doaj.org/article/d1778760f30742c2868c53ce140b1d16
Publikováno v:
Iranian Journal of Applied Ecology, Vol 5, Iss 16, Pp 85-97 (2016)
The sensitivity of landscape metrics to the scale effect is one of the most challenging issues in landscape ecology and quantification of land use spatial patterns. In this study, fractal dimension was employed to assess the effect of scale on the se
Externí odkaz:
https://doaj.org/article/5fe1c49c16f1453f8da362e1bc1bc96c
Autor:
Ahmadi, Mohsen, Nia, Masoumeh Farhadi, Asgarian, Sara, Danesh, Kasra, Irankhah, Elyas, Lonbar, Ahmad Gholizadeh, Sharifi, Abbas
In this study, the main objective is to develop an algorithm capable of identifying and delineating tumor regions in breast ultrasound (BUS) and mammographic images. The technique employs two advanced deep learning architectures, namely U-Net and pre
Externí odkaz:
http://arxiv.org/abs/2306.12510
Explainability of Deep Neural Networks (DNNs) has been garnering increasing attention in recent years. Of the various explainability approaches, concept-based techniques stand out for their ability to utilize human-meaningful concepts instead of focu
Externí odkaz:
http://arxiv.org/abs/2306.03531
Publikováno v:
Iranian Journal of Applied Ecology, Vol 2, Iss 6, Pp 13-25 (2014)
Constant urban development in today’s world has turned urban growth management into a main challenge in the 21st century. Obtaining spatiotemporal information about the pattern and rate of urban growth is critical to a better understanding of the u
Externí odkaz:
https://doaj.org/article/ef98f8e5fdcd44bb89b504aed6cfdc02
Autor:
Sara Asgarian, Hossein Lanjanian, Shiva Rahimipour Anaraki, Farzad Hadaegh, Maryam Moazzam-Jazi, Leila Najd-Hassan-Bonab, Sajedeh Masjoudi, Asiyeh Sadat Zahedi, Maryam Zarkesh, Bita Shalbafan, Mahdi Akbarzadeh, Sahand Tehrani Fateh, Davood Khalili, Amirabbas Momenan, Narges Sarbazi, Mehdi Hedayati, Fereidoun Azizi, Maryam S. Daneshpour
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Maturity-onset diabetes of the young (MODY) is an uncommon monogenic type of diabetes mellitus. Detecting genetic variants for MODY is a necessity for precise diagnosis and treatment. The majority of MODY genetic predisposition has been docu
Externí odkaz:
https://doaj.org/article/9cffd875dd33497eb13b7e36d072b360
Autor:
Mina Asgarian, Ghasem Mirjalily
Publikováno v:
IET Communications, Vol 18, Iss 13, Pp 778-788 (2024)
Abstract The Network Function Virtualization (NFV) technology has emerged to turn hardware‐based network functions into software‐based virtual entities. In NFV‐enabled multicast services, the data flow should be passed through a series of Virtu
Externí odkaz:
https://doaj.org/article/ce1d2a5785864bafa4fc1efef98d9766
Publikováno v:
Archives of Trauma Research, Vol 13, Iss 2, Pp 111-116 (2024)
Background: Methamphetamine (METH) is one of the most popular drugs used by drivers. Recent research has indicated an increase in the utilization of amphetamine-type stimulants over the past 15 years.Objectives: The purpose of this study was to asses
Externí odkaz:
https://doaj.org/article/c510625b0b9348acae9a4c75a9e04051
Autor:
Manzari, Omid Nejati, Kashiani, Hossein, Dehkordi, Hojat Asgarian, Shokouhi, Shahriar Baradaran
Publikováno v:
Engineering Science and Technology, an International Journal, 2023
Vision transformers have been demonstrated to yield state-of-the-art results on a variety of computer vision tasks using attention-based networks. However, research works in transformers mostly do not investigate robustness/accuracy trade-off, and th
Externí odkaz:
http://arxiv.org/abs/2301.11553
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact. A common strategy to identify fraudulent claims is looking for inconsistencies in the supporting evidence. However, this is a laborious and
Externí odkaz:
http://arxiv.org/abs/2301.07526