Zobrazeno 1 - 10
of 721
pro vyhledávání: '"A. Shirkavand"'
Publikováno v:
مهندسی عمران شریف, Vol 38.2, Iss 3.2, Pp 11-20 (2022)
Expansive soils can be problematic in that they impose significant economic damages on the construction projects worldwide due to their high volume change in wet-dry conditions. Annually, many structures have been constructed on expansive soils such
Externí odkaz:
https://doaj.org/article/de91f9266ef84fccad54316d656fa727
Text-to-image (T2I) diffusion models have demonstrated impressive image generation capabilities. Still, their computational intensity prohibits resource-constrained organizations from deploying T2I models after fine-tuning them on their internal targ
Externí odkaz:
http://arxiv.org/abs/2406.12042
Autor:
Singla, Vasu, Yue, Kaiyu, Paul, Sukriti, Shirkavand, Reza, Jayawardhana, Mayuka, Ganjdanesh, Alireza, Huang, Heng, Bhatele, Abhinav, Somepalli, Gowthami, Goldstein, Tom
Training large vision-language models requires extensive, high-quality image-text pairs. Existing web-scraped datasets, however, are noisy and lack detailed image descriptions. To bridge this gap, we introduce PixelProse, a comprehensive dataset of o
Externí odkaz:
http://arxiv.org/abs/2406.10328
Autor:
M. Karimi, T. Zarei, S. Haghpanah, A. Azarkeivan, M. Naderi, S. Matin, A. Bazrafshan, Z. Zahedi, A. Shirkavand, P. Pishdad, V. De Sanctis
Publikováno v:
HemaSphere, Vol 6, Pp 2100-2101 (2022)
Externí odkaz:
https://doaj.org/article/425cb3135cb8415ba2680459c9e247ef
Autor:
Shirkavand, Reza, Huang, Heng
Graph transformers have gained popularity in various graph-based tasks by addressing challenges faced by traditional Graph Neural Networks. However, the quadratic complexity of self-attention operations and the extensive layering in graph transformer
Externí odkaz:
http://arxiv.org/abs/2309.10131
Postoperative complications pose a significant challenge in the healthcare industry, resulting in elevated healthcare expenses and prolonged hospital stays, and in rare instances, patient mortality. To improve patient outcomes and reduce healthcare c
Externí odkaz:
http://arxiv.org/abs/2306.00698
Recent advancements in the acquisition of various brain data sources have created new opportunities for integrating multimodal brain data to assist in early detection of complex brain disorders. However, current data integration approaches typically
Externí odkaz:
http://arxiv.org/abs/2305.16222
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102451- (2024)
In the current study, a non-hydrostatic two-dimensional vertical (2DV) numerical model with a shock-capturing technique is developed to simulate irregular wave breaking on a barred beach. The complete form of the 2DV Reynolds-averaged Navier-Stokes (
Externí odkaz:
https://doaj.org/article/e088e266a901488d95524389c8fbf6ba
Autor:
Tabaie, Seyed Mehdi1 (AUTHOR) smtabaie@yahoo.com, Shirkavand, Afshan2 (AUTHOR), Mansouri, Parvin1,3 (AUTHOR), Mehrizi, Ali Asghar Haeri4 (AUTHOR), Farshi, Susan3 (AUTHOR) farshi_s@yahoo.com
Publikováno v:
Journal of Cosmetic Dermatology. Aug2024, Vol. 23 Issue 8, p2711-2715. 5p.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract In the present study, a non-hydrostatic two-dimensional vertical model has been developed to simulate the breaking of regular waves and surf-swash zone motions on a sloping beach. The objective of the present study was to estimate parameters
Externí odkaz:
https://doaj.org/article/32e155c2b6774ec4862c467039ea3e0e