Zobrazeno 1 - 10
of 2 998
pro vyhledávání: '"Shoushtari, A"'
Autor:
Raja, Rekha, Shoushtari, Ali Leylavi
Publikováno v:
CRC Press, a Taylor and Francis Group 2024
The field of bio-inspired soft grippers has emerged as a transformative area of research with profound implications for biomedical applications. This book chapter provides a comprehensive overview of the principles, developments, challenges, and pros
Externí odkaz:
http://arxiv.org/abs/2407.14324
Autor:
Zou, Zihao, Shoushtari, Shirin, Liu, Jiaming, Zhang, Jialiang, Judge, Patrick, Santana, Emilia, Lim, Alison, Foston, Marcus, Kamilov, Ulugbek S.
Nuclear Magnetic Resonance (NMR) spectroscopy is a widely-used technique in the fields of bio-medicine, chemistry, and biology for the analysis of chemicals and proteins. The signals from NMR spectroscopy often have low signal-to-noise ratio (SNR) du
Externí odkaz:
http://arxiv.org/abs/2405.11064
Autor:
Shoushtari, Shirin, Chandler, Edward P., Zhang, Jialiang, Senanayake, Manjula, Pingali, Sai Venkatesh, Foston, Marcus, Kamilov, Ulugbek S.
Small Angle Neutron Scattering (SANS) is a non-destructive technique utilized to probe the nano- to mesoscale structure of materials by analyzing the scattering pattern of neutrons. Accelerating SANS acquisition for in-situ analysis is essential, but
Externí odkaz:
http://arxiv.org/abs/2403.10495
Publikováno v:
2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023, pg. 186-190
Plug-and-Play Priors (PnP) is a well-known class of methods for solving inverse problems in computational imaging. PnP methods combine physical forward models with learned prior models specified as image denoisers. A common issue with the learned mod
Externí odkaz:
http://arxiv.org/abs/2403.10374
Autor:
Shoushtari, Ali Leylavi
Agricultural robotics and automation are facing some challenges rooted in the high variability 9 of products, task complexity, crop quality requirement, and dense vegetation. Such a set of 10 challenges demands a more versatile and safe robotic syste
Externí odkaz:
http://arxiv.org/abs/2312.00175
Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-streams and form the basic building blocks of HDC systems. In HDC, hyperv
Externí odkaz:
http://arxiv.org/abs/2311.10778
Autor:
Mohammad-Navid Bastani, Manoochehr Makvandi, Maryam Moradi, Somayeh Biparva Haghighi, Maryam Rostami, Sepideh Nasimzadeh, Homayoun Amiri, Seyed Mohammad Alavi, Mohammad Rashno, Ahmadreza Mohtadi, Farid Yousefi, Abbas Fayezi, Mohammadreza Mirkarimi, Maryam Haddadzadeh Shoushtari, Masoud Zadkarami, Negin Balar, Siamak Mirab Sameii, Mehdi Torabizadeh
Publikováno v:
Journal of Health, Population and Nutrition, Vol 43, Iss 1, Pp 1-17 (2024)
Abstract Background The emergence of a new pandemic SARS-CoV-2 (COVID-19) resulted in a high mortality rate across the world. This study sought to comprehensively analyze the Case Fatality Rate (CFR) associated with COVID-19 in the Khuzestan province
Externí odkaz:
https://doaj.org/article/6a8980a75aa64972b0648f10c274aac5
Autor:
Milad Rahmati Farmad, Zahra Eftekhar Saadi, Fatemeh Sadat Marashian, Marzieh Talebzadeh Shoushtari, Parvin Ehteshamzadeh
Publikováno v:
Caspian Journal of Health Research, Vol 9, Iss 4, Pp 217-224 (2024)
Background: Autism spectrum disorder (ASD) exerts significant impacts on family life. Elevated levels of anxiety, stress, isolation, and uncertainty among parents and family members of children with ASD are common consequences. Objectives: This study
Externí odkaz:
https://doaj.org/article/a8a25ba2b00a4f1898cbe12271b84a48
Plug-and-Play (PnP) priors is a widely-used family of methods for solving imaging inverse problems by integrating physical measurement models with image priors specified using image denoisers. PnP methods have been shown to achieve state-of-the-art p
Externí odkaz:
http://arxiv.org/abs/2310.00133
Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend on the stochastic number generator (SNG) unit that converts the data f
Externí odkaz:
http://arxiv.org/abs/2309.05235