Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Nasiri, Hamid"'
Monkeypox is a zoonotic disease. About 87000 cases of monkeypox were confirmed by the World Health Organization until 10th June 2023. The most prevalent methods for identifying this disease are image-based recognition techniques. Still, they are not
Externí odkaz:
http://arxiv.org/abs/2310.19801
Parkinson's disease (PD) is the most widespread movement condition and the second most common neurodegenerative disorder, following Alzheimer's. Movement symptoms and imaging techniques are the most popular ways to diagnose this disease. However, the
Externí odkaz:
http://arxiv.org/abs/2304.06016
Financial time series prediction, a growing research topic, has attracted considerable interest from scholars, and several approaches have been developed. Among them, decomposition-based methods have achieved promising results. Most decomposition-bas
Externí odkaz:
http://arxiv.org/abs/2212.14687
Background and Objective: Parkinson's disease (PD) is the second most common progressive neurological condition after Alzheimer's, characterized by motor and non-motor symptoms. Developing a method to diagnose the condition in its beginning phases is
Externí odkaz:
http://arxiv.org/abs/2210.01205
Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis of breast cancer can significantly improve the efficiency of treatment. Computer-aided diagnosis (CAD) systems are widely adopted in this issue due to their reliabil
Externí odkaz:
http://arxiv.org/abs/2209.01380
Autor:
Nasiri, Hamid, Kheyroddin, Ghazal, Dorrigiv, Morteza, Esmaeili, Mona, Nafchi, Amir Raeisi, Ghorbani, Mohsen Haji, Zarkesh-Ha, Payman
The COVID-19 disease was first discovered in Wuhan, China, and spread quickly worldwide. After the COVID-19 pandemic, many researchers have begun to identify a way to diagnose the COVID-19 using chest X-ray images. The early diagnosis of this disease
Externí odkaz:
http://arxiv.org/abs/2206.04548
Publikováno v:
in 2022 International Conference on Machine Vision and Image Processing (MVIP), 2022, pp. 1-7
The Coronavirus was detected in Wuhan, China in late 2019 and then led to a pandemic with a rapid worldwide outbreak. The number of infected people has been swiftly increasing since then. Therefore, in this study, an attempt was made to propose a new
Externí odkaz:
http://arxiv.org/abs/2203.14275
Autor:
Nasiri, Hamid, Alavi, Seyyed Ali
Publikováno v:
Comput. Intell. Neurosci., vol. 2022, p. 4694567, 2022
The new coronavirus (known as COVID-19) was first identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and people's everyday lives. Fever, cough, sore throat, headache, exhaustion, muscular aches, and difficulty breathing a
Externí odkaz:
http://arxiv.org/abs/2110.06340
Autor:
Nasiri, Hamid, Hasani, Sharif
In late 2019 and after COVID-19 pandemic in the world, many researchers and scholars have tried to provide methods for detection of COVID-19 cases. Accordingly, this study focused on identifying COVID-19 cases from chest X-ray images. In this paper,
Externí odkaz:
http://arxiv.org/abs/2109.02428
Publikováno v:
In Minerals Engineering 1 August 2024 213
