Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Mohammed A M Abdullah"'
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5511 (2024)
Analyzing rock and underground layers is known as drill core lithology. The extracted core sample helps not only in exploring the core properties but also reveals the lithology of the entire surrounding area. Automating rock identification from drill
Externí odkaz:
https://doaj.org/article/a6bed55585fc4d8fb6fa57f118fc9185
Publikováno v:
Information, Vol 14, Iss 12, p 660 (2023)
In the face of increasing flood risks intensified by climate change, accurate flood inundation mapping is pivotal for effective disaster management. This study introduces a novel explainable deep learning architecture designed to generate precise flo
Externí odkaz:
https://doaj.org/article/4d88864a8c6848bda915c55928bad34d
Publikováno v:
Healthcare Technology Letters, Vol 8, Iss 2, Pp 31-36 (2021)
Abstract An accurate tumour segmentation in brain images is a complicated task due to the complext structure and irregular shape of the tumour. In this letter, our contribution is twofold: (1) a lightweight brain tumour segmentation network (LBTS‐N
Externí odkaz:
https://doaj.org/article/11b8f5de100d4c748bbfce6ff4d4335f
Publikováno v:
IET Computer Vision, Vol 15, Iss 2, Pp 151-164 (2021)
Abstract Breast cancer has the highest fatality for women compared with other types of cancer. Generally, early diagnosis of cancer is crucial to increase the chances of successful treatment. Early diagnosis is possible through physical examination,
Externí odkaz:
https://doaj.org/article/cd9bf9c24c3c4c998ef81fa815bbe0d2
Publikováno v:
IEEE Access, Vol 9, Pp 100839-100850 (2021)
Recently much research work has focused on employing deep learning (DL) algorithms to perform channel estimation in the upcoming 6G communication systems. However, these DL algorithms are usually computationally demanding and require a large number o
Externí odkaz:
https://doaj.org/article/1fc1a38245bb47d4a099ef9d901a23c7
Publikováno v:
IEEE Access, Vol 7, Pp 83515-83525 (2019)
In this paper, a machine-to-machine (M2M) communication system is proposed with joint M2M and cellular user equipment (CUE) device selection schemes to decrease the outage probability of the system. The machine devices and CUEs are positioned randoml
Externí odkaz:
https://doaj.org/article/09e48655f8cf46b082a86350fcdbff23
Autor:
Sinan Alkassar, Mohammed A. M. Abdullah, Bilal A. Jebur, Ghassan H. Abdul-Majeed, Bo Wei, Wai Lok Woo
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11461 (2021)
Pneumonia is a severe infection that affects the lungs due to viral or bacterial infections such as the novel COVID-19 virus resulting in mild to critical health conditions. One way to diagnose pneumonia is to screen prospective patient’s lungs usi
Externí odkaz:
https://doaj.org/article/2015c91037e44a04a46c3a792d373f85
Publikováno v:
IEEE Access, Vol 4, Pp 10180-10193 (2016)
This paper presents a novel security architecture for protecting the integrity of iris images and templates using watermarking and visual cryptography (VC). The proposed scheme offers a complete protection framework for the iris biometrics which cons
Externí odkaz:
https://doaj.org/article/6f47e178f01f4924be996e2549861068
Publikováno v:
Eastern-European Journal of Enterprise Technologies; Vol. 1 No. 2 (121) (2023): Information technology. Industry control systems; 21-28
Eastern-European Journal of Enterprise Technologies; Том 1 № 2 (121) (2023): Інформаційні технології. Системи управління в промисловості; 21-28
Eastern-European Journal of Enterprise Technologies; Том 1 № 2 (121) (2023): Інформаційні технології. Системи управління в промисловості; 21-28
The objective of this work is to propose a robust watermarking method as watermarking techniques are widely used today for preventing image altering and duplication. With the growth of image-based IoT applications nowadays, the need for developing ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7688071b93ee6cd2cd01d632882f4ffe
http://journals.uran.ua/eejet/article/view/273973
http://journals.uran.ua/eejet/article/view/273973
Autor:
Phetcharat Parathai, Naruephorn Tengtrairat, Wai Lok Woo, Mohammed A. M. Abdullah, Gholamreza Rafiee, Ossama Alshabrawy
Publikováno v:
Sensors, Vol 20, Iss 16, p 4368 (2020)
This paper proposes a solution for events classification from a sole noisy mixture that consist of two major steps: a sound-event separation and a sound-event classification. The traditional complex nonnegative matrix factorization (CMF) is extended
Externí odkaz:
https://doaj.org/article/45fa3ea579e8460a838abb0e6865b9b8