Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Heba Abunahla"'
Autor:
Heba Abunahla, Yawar Abbas, Anteneh Gebregiorgis, Waqas Waheed, Baker Mohammad, Said Hamdioui, Anas Alazzam, Moh’d Rezeq
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Advances in materials science and memory devices work in tandem for the evolution of Artificial Intelligence systems. Energy-efficient computation is the ultimate goal of emerging memristor technology, in which the storage and computation ca
Externí odkaz:
https://doaj.org/article/22b4332afa704cf1aeaa88a2113b6c76
Autor:
Ahmed Abusultan, Heba Abunahla, Yasmin Halawani, Baker Mohammad, Nahla Alamoodi, Anas Alazzam
Publikováno v:
Nanoscale Research Letters, Vol 17, Iss 1, Pp 1-13 (2022)
Abstract The adverse effect of ultraviolet (UV) radiation on human beings has sparked intense interest in the development of new sensors to effectively monitor UV and solar exposure. This paper describes a novel low-cost and flexible graphene oxide (
Externí odkaz:
https://doaj.org/article/012e426d5040491a8fbe833442058b2c
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Physical unclonable functions (PUF) are cryptographic primitives employed to generate true and intrinsic randomness which is critical for cryptographic and secure applications. Thus, the PUF output (response) has properties that can be utili
Externí odkaz:
https://doaj.org/article/fa8588cd9a0343559165ff0293fcaa4b
Publikováno v:
IEEE Access, Vol 10, Pp 48229-48241 (2022)
Random spray retinex (RSR) is an effective image enhancement algorithm owing to its effectiveness in improving the image quality. However, the computing complexity of the algorithm, the required hardware resources, and memory access hamper its deploy
Externí odkaz:
https://doaj.org/article/07966ca88a0649ca9d0938c234fc299d
Autor:
Heba Abunahla
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/c23a9a9c2d694f8dbdc3a7d8afde1a10
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Abstract Artificial Intelligence (AI) at the edge has become a hot subject of the recent technology-minded publications. The challenges related to IoT nodes gave rise to research on efficient hardware-based accelerators. In this context, analog memri
Externí odkaz:
https://doaj.org/article/9f317778f3d04fb5badbe463b2cb6632
Publikováno v:
Materials & Design, Vol 210, Iss , Pp 110077- (2021)
Tunable electronics are of great potential for intelligent, adaptable systems. Memristors and memcapacitors have been extensively investigated recently as low power, high density, and high-speed elements to provide tunable-state needed by many emergi
Externí odkaz:
https://doaj.org/article/09996b1e31074b46a026c59f91d38d4c
Publikováno v:
Nanomaterials, Vol 12, Iss 11, p 1812 (2022)
This work reports on the fabrication of a novel planar reduced graphene oxide (rGO) memristor (MR) device. For the first time in the literature, the MR tunable resistive switching behavior is controlled by the GO reduction time at a constant temperat
Externí odkaz:
https://doaj.org/article/16b2368139704a25be1ad95bc5ed76b7
Publikováno v:
Micromachines, Vol 11, Iss 4, p 399 (2020)
Recently, graphene has been explored in several research areas according to its outstanding combination of mechanical and electrical features. The ability to fabricate micro-patterns of graphene facilitates its integration in emerging technologies su
Externí odkaz:
https://doaj.org/article/3b15ab66a789469ca6923fee976e8cb4
Publikováno v:
AIP Advances, Vol 6, Iss 2, Pp 025107-025107-10 (2016)
This paper proposes novel secret key generation techniques using memristor devices. The approach depends on using the initial profile of a memristor as a master key. In addition, session keys are generated using the master key and other specified par
Externí odkaz:
https://doaj.org/article/48c91059406844b7b1441507b189dac9