Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Seyed Vahid Moravvej"'
Autor:
Siavash Taherinavid, Seyed Vahid Moravvej, Yen-Lin Chen, Jing Yang, Chin Soon Ku, Por Lip Yee
Publikováno v:
IEEE Access, Vol 12, Pp 514-533 (2024)
The increasing dependence on smartphones with advanced sensors has highlighted the imperative of precise transportation mode classification, pivotal for domains like health monitoring and urban planning. This research is motivated by the pressing dem
Externí odkaz:
https://doaj.org/article/297ab8a3c47c4549932c42a64b95d8dd
Autor:
Hossein Zareiamand, Amin Darroudi, Iraj Mohammadi, Seyed Vahid Moravvej, Saba Danaei, Roohallah Alizadehsani
Publikováno v:
Diagnostics, Vol 13, Iss 16, p 2667 (2023)
CMRI is the exclusive imaging technique capable of identifying myocardial edema, endomyocardial fibrosis, pericarditis accompanied by pericardial effusions, and apical thrombi within either the left or right ventricle. In this work, we examine the re
Externí odkaz:
https://doaj.org/article/dbdbc234992840129fc551858fa0d84d
An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model
Autor:
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Zahra Sobhaninia
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Autor:
Seyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, Zahra Sobhaninia, Afshin Shoeibi, Fahime Khozeimeh, Zahra Alizadeh Sani, Ru-San Tan, Abbas Khosravi, Saeid Nahavandi, Nahrizul Adib Kadri, Muhammad Mokhzaini Azizan, N. Arunkumar, U.Rajendra Acharya
Publikováno v:
Contrast mediamolecular imaging. 2022
Myocarditis is heart muscle inflammation that is becoming more prevalent these days, especially with the prevalence of COVID-19. Noninvasive imaging cardiac magnetic resonance (CMR) can be used to diagnose myocarditis, but the interpretation is time-
Publikováno v:
2021 7th International Conference on Web Research (ICWR).
Bidirectional LSTMs and the attention mechanism play an essential role in many areas of natural language processing. Many studies give equal importance to words, which leads to a flawed model. This research offers a method based on Attention-Based Bi
Publikováno v:
2021 5th International Conference on Internet of Things and Applications (IoT).
With the growth of the Internet of Things (IoT) technology, Fog computing has moved the processing capability of generated data near IoT devices and objects. Therefore, fog nodes able to reduce the response time to high volumes of generated data. As
Autor:
Moein Salimi Sartakhti, Mohammad Javad Maleki Kahaki, Seyed Vahid Moravvej, Abdolreza Mirzaei
Publikováno v:
2021 29th Iranian Conference on Electrical Engineering (ICEE).
Question answering (QA) enables the system to answer questions automatically. In recent years, much research has been done in this area. In most methods, question and answer words are given equal importance, which leads to poor model performance. Thi
Publikováno v:
2021 29th Iranian Conference on Electrical Engineering (ICEE).
Today, with the increase of objects and physical devices connected to the Internet and the creation of an intelligent environment, a new paradigm as the Internet of Things (IoT), has been introduced. In this paradigm, fog computing is used as an esse
Autor:
Moein Salimi Sartakhti, Maedeh javadi Joortani, Seyed Vahid Moravvej, Mohammad Javad Maleki Kahaki, Alireza Bagheri
Publikováno v:
2021 5th International Conference on Pattern Recognition and Image Analysis (IPRIA).
Coronavirus disease 2019 (COVID-2019) appeared in China, in 2019. COVID-2019 expanded all over the world quickly and caused many deaths. COVID-19 has become one of the hottest research areas recently. In this paper, we create a language model (LM) to
Autor:
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand
Publikováno v:
Neural Information Processing ISBN: 9783030922375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c194b259af55f4c7c70810f2cf1506b7
https://doi.org/10.1007/978-3-030-92238-2_57
https://doi.org/10.1007/978-3-030-92238-2_57