Zobrazeno 1 - 10
of 3 409
pro vyhledávání: '"A. Mubashar"'
Publikováno v:
Polymer Testing, Vol 113, Iss , Pp 107680- (2022)
This research explores the combinative effects of graphene nanoplatelets (GNPs) addition, functionalisation, and filler concentration on the mechanical behaviour of high viscous structural adhesive (Araldite 2011) and lap shear joints strength. Non-f
Externí odkaz:
https://doaj.org/article/4e99de1ba6c2483b95ee06b6bd0eaee6
Segmenting organs in CT scan images is a necessary process for multiple downstream medical image analysis tasks. Currently, manual CT scan segmentation by radiologists is prevalent, especially for organs like the pancreas, which requires a high level
Externí odkaz:
http://arxiv.org/abs/2401.10419
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 11, Iss 6, Pp 1579-1589 (2018)
Evaluation of store separation experimentally is expensive; time consuming and dangerous as human risks are involved. This results in development of computational methods to simulate the store separation. Store separation studies include store separa
Externí odkaz:
https://doaj.org/article/4d4cefefad2147628512b6ccbfb93fae
Publikováno v:
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, United Kingdom, 2023, pp. 2706-2713
A wide range of respiratory diseases, such as cold and flu, asthma, and COVID-19, affect people's daily lives worldwide. In medical practice, respiratory sounds are widely used in medical services to diagnose various respiratory illnesses and lung di
Externí odkaz:
http://arxiv.org/abs/2309.04505
Autor:
Saleem, Afsah, Ilyas, Zaid, Suter, David, Hassan, Ghulam Mubashar, Reid, Siobhan, Schousboe, John T., Prince, Richard, Leslie, William D., Lewis, Joshua R., Gilani, Syed Zulqarnain
Abdominal Aortic Calcification (AAC) is a known marker of asymptomatic Atherosclerotic Cardiovascular Diseases (ASCVDs). AAC can be observed on Vertebral Fracture Assessment (VFA) scans acquired using Dual-Energy X-ray Absorptiometry (DXA) machines.
Externí odkaz:
http://arxiv.org/abs/2307.12006
Autor:
Manchingal, Shireen Kudukkil, Mubashar, Muhammad, Wang, Kaizheng, Shariatmadar, Keivan, Cuzzolin, Fabio
Machine learning is increasingly deployed in safety-critical domains where robustness against adversarial attacks is crucial and erroneous predictions could lead to potentially catastrophic consequences. This highlights the need for learning systems
Externí odkaz:
http://arxiv.org/abs/2307.05772
Classification of sleep stages plays an essential role in diagnosing sleep-related diseases including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end deep learning architecture, named SSNet, which comprises of two deep
Externí odkaz:
http://arxiv.org/abs/2307.05373
Epilepsy is a highly prevalent brain condition with many serious complications arising from it. The majority of patients which present to a clinic and undergo electroencephalogram (EEG) monitoring would be unlikely to experience seizures during the e
Externí odkaz:
http://arxiv.org/abs/2304.13965
Autism diagnosis presents a major challenge due to the vast heterogeneity of the condition and the elusive nature of early detection. Atypical gait and gesture patterns are dominant behavioral characteristics of autism and can provide crucial insight
Externí odkaz:
http://arxiv.org/abs/2304.08368
Autor:
Asif, Shakeela, Khan, Soulat, Butt, Tayyab Ali, Mehmood, Anisa, Zulfiqar, Aimen, Mubashar, Tahira
Publikováno v:
International Journal of Human Rights in Healthcare, 2022, Vol. 17, Issue 2, pp. 210-220.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJHRH-06-2022-0056