Zobrazeno 1 - 10
of 2 342
pro vyhledávání: '"Acharya U Rajendra"'
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:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Acharya, U Rajendra, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan
Suicide is a prominent issue in society. Unfortunately, many people at risk for suicide do not receive the support required. Barriers to people receiving support include social stigma and lack of access to mental health care. With the popularity of s
Externí odkaz:
http://arxiv.org/abs/2405.05795
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan, Li, Yuefeng, Acharya, U Rajendra
Repetitive Transcranial Magnetic Stimulation (rTMS) is a well-supported, evidence-based treatment for depression. However, patterns of response to this treatment are inconsistent. Emerging evidence suggests that artificial intelligence can predict rT
Externí odkaz:
http://arxiv.org/abs/2404.16913
Autor:
Maheshwari, Shishir, Rajesh, Kandala N V P S, Kanhangad, Vivek, Acharya, U Rajendra, Kumar, T Sunil
Attention deficit hyperactivity disorder (ADHD) is one of the common neurodevelopmental disorders in children. This paper presents an automated approach for ADHD detection using the proposed entropy difference (EnD)- based encephalogram (EEG) channel
Externí odkaz:
http://arxiv.org/abs/2404.09493
Autor:
Bazargani, Yasin Sadeghi, Mirzaei, Majid, Sobhi, Navid, Abdollahi, Mirsaeed, Jafarizadeh, Ali, Pedrammehr, Siamak, Alizadehsani, Roohallah, Tan, Ru San, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagnose DM complications, including diabetic retinopathy (DR), neuropathy,
Externí odkaz:
http://arxiv.org/abs/2402.18600
Autor:
Jafarizadeh, Ali, Maleki, Shadi Farabi, Pouya, Parnia, Sobhi, Navid, Abdollahi, Mirsaeed, Pedrammehr, Siamak, Lim, Chee Peng, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Islam, Sheikh Mohammad Shariful, Acharya, U. Rajendra
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While semi-automated systems have been used in the past to diagnose ROP-
Externí odkaz:
http://arxiv.org/abs/2402.09975
Autor:
Sharifrazi, Danial, Javed, Nouman, Alizadehsani, Roohallah, Paradkar, Prasad N., Acharya, U. Rajendra, Bhatti, Asim
Mosquito-borne diseases present considerable risks to the health of both animals and humans. Aedes aegypti mosquitoes are the primary vectors for numerous medically important viruses such as dengue, Zika, yellow fever, and chikungunya. To characteriz
Externí odkaz:
http://arxiv.org/abs/2312.08654
This paper explores the significant impact of AI-based medical devices, including wearables, telemedicine, large language models, and digital twins, on clinical decision support systems. It emphasizes the importance of producing outcomes that are not
Externí odkaz:
http://arxiv.org/abs/2311.11055
Autor:
Abdollahi, Mirsaeed, Jafarizadeh, Ali, Asbagh, Amirhosein Ghafouri, Sobhi, Navid, Pourmoghtader, Keysan, Pedrammehr, Siamak, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Acharya, U. Rajendra
Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related topics. Th
Externí odkaz:
http://arxiv.org/abs/2311.07609
Autor:
Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Hafeez-Baig, Abdul, Tan, Ru-San, Chakraborty, Subrata, Acharya, U. Rajendra
The generative pre-trained transformer (GPT)-based chatbot software ChatGPT possesses excellent natural language processing capabilities but is inadequate for solving arithmetic problems, especially multiplication. Its GPT structure uses a computatio
Externí odkaz:
http://arxiv.org/abs/2310.13016