Zobrazeno 1 - 10
of 3 114
pro vyhledávání: '"Ali A Mohamed"'
This paper introduces a novel approach to image denoising that leverages the advantages of Generative Adversarial Networks (GANs). Specifically, we propose a model that combines elements of the Pix2Pix model and the Wasserstein GAN (WGAN) with Gradie
Externí odkaz:
http://arxiv.org/abs/2407.11865
In this work, we propose a cascaded scheme of linear Model prediction Control (MPC) based on Control Barrier Functions (CBF) with Dynamic Feedback Linearization (DFL) for Vertical Take-off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs). CBF is a
Externí odkaz:
http://arxiv.org/abs/2404.09320
The need for fully autonomous mobile robots has surged over the past decade, with the imperative of ensuring safe navigation in a dynamic setting emerging as a primary challenge impeding advancements in this domain. In this paper, a Safety Critical M
Externí odkaz:
http://arxiv.org/abs/2404.10018
Autor:
Ateya Megahed Ibrahim, Hassanat Ramadan Abdel-Aziz, Heba Ali Hamed Mohamed, Donia Elsaid Fathi Zaghamir, Nadia Mohamed Ibrahim Wahba, Ghada. A. Hassan, Mostafa Shaban, Mohammad EL-Nablaway, Ohoud Naif Aldughmi, Taghreed Hussien Aboelola
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Background In the digital age, maintaining patient confidentiality while ensuring effective care coordination poses significant challenges for healthcare providers, particularly nurses. Aim To investigate the challenges and strategies associ
Externí odkaz:
https://doaj.org/article/e2c8e63ae7dd4961addd8a662584efab
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Parameter identification of solar photovoltaic (PV) cells is crucial for the PV system modeling. However, finding optimal parameters of PV models is an intractable problem due to the highly nonlinear characteristics between currents and volt
Externí odkaz:
https://doaj.org/article/9726bb46520e459d94b92c9a7d16083c
Autor:
Seyed Jalaleddin Mousavirad, Khosro Rezaee, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Davood Zabihzadeh, Mehran Pourvahab, Diego Oliva
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 126-143 (2024)
Despite the effectiveness of deep neural networks, feed-forward neural networks (FFNNs) continue to play a crucial role in many applications, especially when dealing with limited data availability. The primary challenge in FFNNs is determining the op
Externí odkaz:
https://doaj.org/article/259dc2a20cfa4481b1f8ed13b3fbca91
Autor:
Ali Imran Mohamed Kamil Muhammad, Farhan Hanif Reduan Mohd, Luqman Abu-Bakar, Mohd Akmal Mohd Noor, Shazana Hilda Shamsuddin, Amirul Faiz Mohd Azmi, Siti Nor Azizah Mahamud
Publikováno v:
Veterinary Integrative Sciences, Vol 22, Iss 2, Pp 537-557 (2024)
Phytogenic feed additives (PFA) have been studied in many poultry researches primarily as growth promoters due to the growing interest in using natural products in farming. However, few researchers opted to study Piper betle and Alpinia galanga as gr
Externí odkaz:
https://doaj.org/article/94a7f09c90c24cce91dfc6907c7c17b3
Autor:
Condrea, Florin, Rapaka, Saikiran, Itu, Lucian, Sharma, Puneet, Sperl, Jonathan, Ali, A Mohamed, Leordeanu, Marius
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death. While medical imaging, through computed tomographic pulmonary angiography (CTPA), represents the gold standard for PE diagnosis, it is still susceptible to misdiagnosis or si
Externí odkaz:
http://arxiv.org/abs/2303.17593
Autor:
Mohamed K. Kamaludeen, Kirn Zafar, Yusef Esa, Ahmed Ali A. Mohamed, Elihu Nyemah, Lizzette Salmeron, Simon Odie
Publikováno v:
IET Smart Grid, Vol 7, Iss 3, Pp 351-365 (2024)
Abstract The mass deployment of distributed energy resources (DERs) to achieve clean energy objectives has become a major goal across several states in the U.S. However, the viability and reality of achieving these goals in dense urban areas, such as
Externí odkaz:
https://doaj.org/article/f0fe35f756f244f3946829f3137c5469
Publikováno v:
Neurology International, Vol 16, Iss 3, Pp 561-566 (2024)
(1) Background: Niemann–Pick type C1 (NP-C1) is a lysosomal storage disorder that results in the defective trafficking of cholesterol and other cellular lipids in the endosomal–lysosomal pathway. This rare autosomal recessive disorder presents in
Externí odkaz:
https://doaj.org/article/6673f2a5521e4a08803667c88ec769a3