Zobrazeno 1 - 10
of 9 907
pro vyhledávání: '"Sadeghian, A."'
Identifying unusual brain activity is a crucial task in neuroscience research, as it aids in the early detection of brain disorders. It is common to represent brain networks as graphs, and researchers have developed various graph-based machine learni
Externí odkaz:
http://arxiv.org/abs/2410.02087
Despite recent advancements in torque-controlled tactile robots, integrating them into manufacturing settings remains challenging, particularly in complex environments. Simplifying robotic skill programming for non-experts is crucial for increasing r
Externí odkaz:
http://arxiv.org/abs/2408.14219
Robotic manipulation is essential for modernizing factories and automating industrial tasks like polishing, which require advanced tactile abilities. These robots must be easily set up, safely work with humans, learn tasks autonomously, and transfer
Externí odkaz:
http://arxiv.org/abs/2408.12285
Autor:
Nazari, Ali A., Catania, Jeremy, Sadeghian, Soroush, Jalali, Amir, Masnavi, Houman, Janabi-Sharifi, Farrokh, Zareinia, Kourosh
Minimally invasive robotic surgery has gained significant attention over the past two decades. Telerobotic systems, combined with robot-mediated minimally invasive techniques, have enabled surgeons and clinicians to mitigate radiation exposure for me
Externí odkaz:
http://arxiv.org/abs/2407.13162
Autor:
Ghosh, Kuntal, Sadeghian, Shadan
The proliferation of Artificial Intelligence (AI) in workplaces stands to change the way humans work, with job satisfaction intrinsically linked to work life. Existing research on human-AI collaboration tends to prioritize performance over the experi
Externí odkaz:
http://arxiv.org/abs/2406.14273
Microplastic particle ingestion or inhalation by humans is a problem of growing concern. Unfortunately, current research methods that use machine learning to understand their potential harms are obstructed by a lack of available data. Deep learning t
Externí odkaz:
http://arxiv.org/abs/2404.07356
The improvements in received signal power brought about by a reflective intelligent surface (RIS) might be overstated if background propagation mechanisms such as reflections, scattering, and diffraction are ignored. This paper addresses this issue f
Externí odkaz:
http://arxiv.org/abs/2311.05266
Although text-to-image diffusion models have made significant strides in generating images from text, they are sometimes more inclined to generate images like the data on which the model was trained rather than the provided text. This limitation has
Externí odkaz:
http://arxiv.org/abs/2304.04968
Autor:
Arezou Zoroufian, MD, Arya Afrooghe, MD, Manouchehr Ziafat, MD, Arash Jalali, PhD, Mohammadreza Babaei, MD, Pooria Ahmadi, MD, Hakimeh Sadeghian, MD
Publikováno v:
Texas Heart Institute Journal, Vol 51, Iss 2, Pp 1-8 (2024)
Abstract Background: The appropriateness of aortic valve surgery for patients with moderate aortic valve regurgitation undergoing coronary artery bypass graft (CABG), mitral valve replacement (MVR), or both is uncertain. This study aimed to investiga
Externí odkaz:
https://doaj.org/article/3f3babd71a184bf984f09c05ad15094b
Autor:
Sajjad Ahmadi-Renani, Danesh Soltani, Melina Farshbafnadi, Akbar Shafiee, Arash Jalali, Mohammad Mohammadi, Sepehr Golestanian, Erfan kamalian, Farshid Alaeddini, Soheil Saadat, Saeed Sadeghian, Bahman Mansoury, Mohamamdali Boroumand, Abbasali Karimi, Farzad Masoudkabir, Ali Vasheghani-Farahani
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The characteristics of electrocardiogram (ECG) abnormalities related to cardiac channelopathies potentially linked to sudden cardiac death (SCD) are not widely recognized in Iran. We examined the prevalence of such ECG patterns an
Externí odkaz:
https://doaj.org/article/8ca7ec8393ac415782d17cadd5591f78