Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Farhan A. Alenizi"'
Autor:
Mimouna Abdullah Alkhonaini, Entesar Gemeay, Firas Muhammad Zeki Mahmood, Mohamed Ayari, Farhan A. Alenizi, Sangkeum Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Due to their simplicity of implementation and compliance with the encryption issue, chaotic models are often utilized in picture encryption applications. Despite having many benefits, this approach still has a crucial space issue that makes
Externí odkaz:
https://doaj.org/article/2810424c87e34cc2bdf401009247a38b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract One of the biggest problems with Internet of Things (IoT) applications in the real world is ensuring data integrity. This problem becomes increasingly significant as IoT expands quickly across a variety of industries. This study presents a b
Externí odkaz:
https://doaj.org/article/fee9acc6488e4de5bfaf743bfe7c6cbe
Autor:
Gyana Ranjana Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera, Manoj Gupta, Farhan A. Alenizi, Aziz Nanthaamornphong
Publikováno v:
IEEE Access, Vol 12, Pp 88913-88926 (2024)
This paper introduces an innovative methodology to disrupt deep-learning (DL) surveillance systems by implementing an adversarial framework strategy, inducing misclassification in live video objects and extending attacks to real-time models. Focusing
Externí odkaz:
https://doaj.org/article/f653a224d1784682b5fac07207476be2
Autor:
Gyana Ranjana Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera, Manoj Gupta, Farhan A. Alenizi, Pannee Suanpang, Aziz Nanthaamornphong
Publikováno v:
IEEE Access, Vol 12, Pp 83043-83056 (2024)
Contemporary culture presents a substantial obstacle for cyber security experts in the shape of software vulnerabilities, which, if taken advantage of, can jeopardize the Confidentiality, Integrity, and Availability (CIA) of any system. Data-driven a
Externí odkaz:
https://doaj.org/article/5918fd4439814bc8bccff76e10edfbb5
Autor:
Entessar Saeed Gemeay, Farhan A. Alenizi, Adil Hussein Mohammed, Mohammad Hossein Shakoor, Reza Boostani
Publikováno v:
IEEE Access, Vol 11, Pp 91673-91695 (2023)
There are several statistical descriptors for feature extraction from texture images. Local binary pattern is one of the most popular descriptors for revealing the underlying structure of a texture. Recently several variants of local binary descripto
Externí odkaz:
https://doaj.org/article/bce3333050ef4c8c8f26b34246f6cc31
Autor:
Mehdi Hosseinzadeh, Adil Hussein Mohammed, Amir Masoud Rahmani, Farhan A. Alenizi, Seid Miad Zandavi, Efat Yousefpoor, Omed Hassan Ahmed, Mazhar Hussain Malik, Lilia Tightiz
Publikováno v:
PLoS ONE, Vol 18, Iss 10 (2023)
Externí odkaz:
https://doaj.org/article/bc8a8768f03345a0afdefa34de269e8c
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e4308e49075d6dfcf5227ba1650c65
https://doi.org/10.1007/s11042-023-15177-4
https://doi.org/10.1007/s11042-023-15177-4
Autor:
Tao Hai, Farhan A. Alenizi, Adil Hussein Mohammed, Bhupendra Singh Chauhan, Basim Al-Qargholi, Ahmed Sayed Mohammed Metwally, Mirzat Ullah
Publikováno v:
International Communications in Heat and Mass Transfer. 145:106848
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772877fad91bba674560b49882958f99
https://doi.org/10.1016/j.icheatmasstransfer.2023.106848
https://doi.org/10.1016/j.icheatmasstransfer.2023.106848
Autor:
Shrutika S. Sawant, Manoharan Prabukumar, Agilandeeswari Loganathan, Farhan A. Alenizi, Subodh Ingaleshwar
Hyperspectral band selection is one of the efficacious ways to diminish the size of hyperspectral images. The process of selecting a few useful bands will be successful when two fundamental aspects are considered: information abundance and redundancy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7bd4e744c6450d193aab61743a28b04
https://publica.fraunhofer.de/handle/publica/445568
https://publica.fraunhofer.de/handle/publica/445568
Publikováno v:
ACSSC
A 3d mesh blind optimized watermarking technique is proposed in this paper. The technique relies on the displacement process of the vertices locations depending on the modification of the variances of the vertices's norms. Statistical analysis were p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::095e94c4b1457b5fc591e97df3691fcd
https://doi.org/10.1109/acssc.2017.8335170
https://doi.org/10.1109/acssc.2017.8335170