Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Kian Jafari"'
Autor:
Mohammad Javad Adel, Mohammad Hadi Rezayati, Mohammad Hossein Moaiyeri, Abdolah Amirany, Kian Jafari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The ubiquitous presence of electronic devices demands robust hardware security mechanisms to safeguard sensitive information from threats. This paper presents a physical unclonable function (PUF) circuit based on magnetoresistive random acce
Externí odkaz:
https://doaj.org/article/9f225083f21d4d969a8397123b8590b3
Autor:
Fahimeh Marvi, Kian Jafari, Mahmoud Shahabadi, Maryam Tabarzad, Fatemeh Ghorbani-Bidkorpeh, Taha Azad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Rapid and label-free detection of very low concentrations of biomarkers in disease diagnosis or therapeutic drug monitoring is essential to prevent disease progression in Point of Care Testing. For this purpose, we propose a multi-purpose op
Externí odkaz:
https://doaj.org/article/70b1c918b478431da08e37b3dd0aede8
Publikováno v:
Biosensors, Vol 14, Iss 8, p 385 (2024)
A label-free biosensor based on a tunable MEMS metamaterial structure is proposed in this paper. The adopted structure is a one-dimensional array of metamaterial gratings with movable and fixed fingers. The moving unit of the optical detection system
Externí odkaz:
https://doaj.org/article/13fd04fe27354d6980d3d9617386c53b
Publikováno v:
IET Circuits, Devices and Systems, Vol 17, Iss 4, Pp 205-212 (2023)
Abstract Significant progress has been made in manufacturing emerging technologies in recent years. This progress implemented in‐memory‐computing and neural networks, one of today's hottest research topics. Over time, the need to process complex
Externí odkaz:
https://doaj.org/article/0fd886c7a18a492481ad9b6728fada55
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 13, Iss 1, Pp 19-26 (2022)
The stochastic neuron has great importance in neural networks and is one of the most important subjects in machine learning algorithms. Hardware implementation of neural networks has always been of interest to researchers and can significantly increa
Externí odkaz:
https://doaj.org/article/ad9dc42be7f14c2382461fcb31a723c5
Publikováno v:
ETRI Journal, Vol 40, Iss 6, Pp 794-801 (2018)
This paper proposes a novel graphene‐based optical microelectromechanical systems MEMS accelerometer that is dependent on the intensity modulation and optical properties of graphene. The designed sensing system includes a multilayer graphene finger
Externí odkaz:
https://doaj.org/article/2867ab0c143a4afcba7cdfbc1778c341
Autor:
Fahimeh Marvi, Kian Jafari
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 29:1-8
Publikováno v:
IEEE Sensors Journal. 23:7041-7048
Publikováno v:
Journal of Signal Processing Systems. 95:551-558
Publikováno v:
IEEE Transactions on Magnetics. 59:1-8