Zobrazeno 1 - 10
of 78
pro vyhledávání: '"JOLOUDARI, JAVAD HASSANNATAJ"'
Autor:
Sharifrazi, Danial, Javed, Nouman, Joloudari, Javad Hassannataj, Alizadehsani, Roohallah, Paradkar, Prasad N., Tan, Ru-San, Acharya, U. Rajendra, Bhatti, Asim
Human brain neuron activities are incredibly significant nowadays. Neuronal behavior is assessed by analyzing signal data such as electroencephalography (EEG), which can offer scientists valuable information about diseases and human-computer interact
Externí odkaz:
http://arxiv.org/abs/2409.17516
Autor:
Joloudari, Javad Hassannataj, Maftoun, Mohammad, Nakisa, Bahareh, Alizadehsani, Roohallah, Yadollahzadeh-Tabari, Meisam
The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining combinations of basic emotions expressed, their interconnections, and the dynamic variations. Through the utilization of advanced algorithms, CERS provides
Externí odkaz:
http://arxiv.org/abs/2409.07493
Autor:
Maftoun, Mohammad, Shadkam, Nima, Komamardakhi, Seyedeh Somayeh Salehi, Mansor, Zulkefli, Joloudari, Javad Hassannataj
Trusting the accuracy of data inputted on online platforms can be difficult due to the possibility of malicious websites gathering information for unlawful reasons. Analyzing each website individually becomes challenging with the presence of such mal
Externí odkaz:
http://arxiv.org/abs/2406.10286
The small amount of training data for many state-of-the-art deep learning-based Face Recognition (FR) systems causes a marked deterioration in their performance. Although a considerable amount of research has addressed this issue by inventing new dat
Externí odkaz:
http://arxiv.org/abs/2301.11986
Autor:
Joloudari, Javad Hassannataj, Hussain, Sadiq, Nematollahi, Mohammad Ali, Bagheri, Rouhollah, Fazl, Fatemeh, Alizadehsani, Roohallah, Lashgari, Reza, Talukder, Ashis
The free flow of information has been accelerated by the rapid development of social media technology. There has been a significant social and psychological impact on the population due to the outbreak of Coronavirus disease (COVID-19). The COVID-19
Externí odkaz:
http://arxiv.org/abs/2211.09733
Autor:
Joloudari, Javad Hassannataj, Marefat, Abdolreza, Nematollahi, Mohammad Ali, Oyelere, Solomon Sunday, Hussain, Sadiq
Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models for achieving satisfactory results. ID is the occurrence of a situation where the quantity of the samples belonging to one class outnumbers that of the other by a wide margin,
Externí odkaz:
http://arxiv.org/abs/2209.00653
Autor:
Joloudari, Javad Hassannataj, Mojrian, Sanaz, Saadatfar, Hamid, Nodehi, Issa, Fazl, Fatemeh, shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Kabir, H M Dipu, Tan, Ru-San, Acharya, U Rajendra
With the increasing growth of information through smart devices, increasing the quality level of human life requires various computational paradigms presentation including the Internet of Things, fog, and cloud. Between these three paradigms, the clo
Externí odkaz:
http://arxiv.org/abs/2203.12315
Autor:
Joloudari, Javad Hassannataj, Saadatfar, Hamid, GhasemiGol, Mohammad, Alizadehsani, Roohallah, Sani, Zahra Alizadeh, Hasanzadeh, Fereshteh, Hassannataj, Edris, Sharifrazi, Danial, Mansor, Zulkefli
Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common cardiovascular disease. A standard clinical tool for diagnosing CAD is ang
Externí odkaz:
http://arxiv.org/abs/2202.04645
Autor:
Joloudari, Javad Hassannataj, Azizi, Faezeh, Nematollahi, Mohammad Ali, Alizadehsani, Roohallah, Hassannataj, Edris, Mosavi, Amir
Coronary heart disease (CAD) is one of the crucial reasons for cardiovascular mortality in middle-aged people worldwide. The most typical tool is angiography for diagnosing CAD. The challenges of CAD diagnosis using angiography are costly and have si
Externí odkaz:
http://arxiv.org/abs/2108.08292
Autor:
Joloudari, Javad Hassannataj, Mojrian, Sanaz, Nodehi, Issa, Mashmool, Amir, Zadegan, Zeynab Kiani, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Tamadon, Tahereh, Khosravi, Samiyeh, Kohnehshari, Mitra Akbari, Hassannatajjeloudari, Edris, Sharifrazi, Danial, Mosavi, Amir, Loh, Hui Wen, Tan, Ru-San, Acharya, U Rajendra
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals around the world. To diagnose MI, clinicians need to interpret electro
Externí odkaz:
http://arxiv.org/abs/2107.06179