Zobrazeno 1 - 10
of 1 431
pro vyhledávání: '"Abdullah Abdullah A."'
Autor:
Alharbi Ozwah S., Abdullah Abdullah A.
Publikováno v:
Demonstratio Mathematica, Vol 54, Iss 1, Pp 488-499 (2021)
A revised model of the nanoparticle mass flux is introduced and used to study the thermal instability of the Rayleigh-Benard problem for a horizontal layer of nanofluid heated from below. The motion of nanoparticles is characterized by the effects of
Externí odkaz:
https://doaj.org/article/712d8fd64c0b49f290c58a253fcc291e
Autor:
Abdullah, Abdullah, Sandjaja, Fannya Ratana, Majeed, Ayesha Abdul, Wickremasinghe, Gyan, Rafferty, Karen, Sharma, Vishal
This study investigates uncertainty quantification (UQ) using quantum-classical hybrid machine learning (ML) models for applications in complex and dynamic fields, such as attaining resiliency in supply chain digital twins and financial risk assessme
Externí odkaz:
http://arxiv.org/abs/2411.10254
Autor:
Bakhsh Abeer H., Abdullah Abdullah A.
Publikováno v:
Open Mathematics, Vol 19, Iss 1, Pp 1029-1046 (2021)
A linear stability analysis is performed for the onset of Marangoni convection in a horizontal layer of a nanofluid heated from below and affected by rotation. The top boundary of the layer is assumed to be impenetrable to nanoparticles with their di
Externí odkaz:
https://doaj.org/article/8b698c3fda884ec2957ac2e8a00f14aa
Transformer architecture currently represents the main driver behind many successes in a variety of tasks addressed by deep learning, especially the recent advances in natural language processing (NLP) culminating with large language models (LLM). In
Externí odkaz:
http://arxiv.org/abs/2405.15953
The attention mechanism is the main component of the transformer architecture, and since its introduction, it has led to significant advancements in deep learning that span many domains and multiple tasks. The attention mechanism was utilized in comp
Externí odkaz:
http://arxiv.org/abs/2403.02411
Alzheimer's disease (AD) is the most common long-term illness in elderly people. In recent years, deep learning has become popular in the area of medical imaging and has had a lot of success there. It has become the most effective way to look at medi
Externí odkaz:
http://arxiv.org/abs/2310.08888
Publikováno v:
Sistemasi: Jurnal Sistem Informasi, Vol 13, Iss 5, Pp 2268-2276 (2024)
Diabetic retinopathy is a serious complication of diabetes that can lead to blindness if not detected and treated early. Automated detection of diabetic retinopathy requires effective feature extraction techniques to enhance diagnostic accuracy. This
Externí odkaz:
https://doaj.org/article/e4378e14cb0b4552ace32c4388d70716
Publikováno v:
Journal of Education and Teaching, Vol 5, Iss 2, Pp 248-270 (2024)
This study examines the implementation of student-centered learning at Soran University in the Kurdistan Region and identifies factors that limit its adoption. The research emphasizes student involvement in the learning process, shifting the primary
Externí odkaz:
https://doaj.org/article/e30f1b26d4c14a2faee5a0d77f510c1e
Publikováno v:
BMC Complementary Medicine and Therapies, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract The growing global threat of antimicrobial resistance endangers both human and animal life, necessitating the urgent discovery of novel antimicrobial solutions. Medicinal plants hold promise as sources of potential antimicrobial compounds. I
Externí odkaz:
https://doaj.org/article/39487cb8514c4eaea7b994dbe614f153
Ensemble techniques are frequently encountered in machine learning and engineering problems since the method combines different models and produces an optimal predictive solution. The ensemble concept can be adapted to deep learning models to provide
Externí odkaz:
http://arxiv.org/abs/2302.05950