Zobrazeno 1 - 10
of 7 071
pro vyhledávání: '"P Mortazavi"'
Understanding the fracture mechanisms in composite materials across scales, from nano- to micro-scales, is essential for an in-depth understanding of the reinforcement mechanisms and designing the next generation of lightweight, high-strength composi
Externí odkaz:
http://arxiv.org/abs/2411.14492
Autor:
Shah, Manoj Kumar, Soref, Richard A., Zhang, Diandian, Du, Wei, Salamo, Gregory J., Yu, Shui-Qing, Mortazavi, Mansour
Photonic integrated circuits (PICs) have been acknowledged as the promising platforms for the applications in data communication, Lidar in autonomous driving vehicles, innovative sensor technology, etc. Since the demonstration of optical components i
Externí odkaz:
http://arxiv.org/abs/2411.13035
Autor:
Sevryugina, Nataliya, Costanzo, Serena, Kops, Steve de Bruyn, Caulfield, Colm-cille, Mortazavi, Iraj, Sayadi, Taraneh
Computational Fluid Dynamics (CFD) is an indispensable method of fluid modelling in engineering applications, reducing the need for physical prototypes and testing for tasks such as design optimisation and performance analysis. Depending on the compl
Externí odkaz:
http://arxiv.org/abs/2411.09545
Large language models (LLMs) pre-trained on massive corpora have demonstrated impressive few-shot learning capability on many NLP tasks. Recasting an NLP task into a text-to-text generation task is a common practice so that generative LLMs can be pro
Externí odkaz:
http://arxiv.org/abs/2411.02864
Continuous arterial blood pressure (ABP) monitoring is invasive but essential for hemodynamic monitoring. Recent techniques have reconstructed ABP non-invasively using pulsatile signals but produced inaccurate systolic and diastolic blood pressure (S
Externí odkaz:
http://arxiv.org/abs/2410.18895
Machine learning has revolutionized the modeling of clinical timeseries data. Using machine learning, a Deep Neural Network (DNN) can be automatically trained to learn a complex mapping of its input features for a desired task. This is particularly v
Externí odkaz:
http://arxiv.org/abs/2410.09199
Transformers have a quadratic scaling of computational complexity with input size, which limits the input context window size of large language models (LLMs) in both training and inference. Meanwhile, retrieval-augmented generation (RAG) besed models
Externí odkaz:
http://arxiv.org/abs/2410.12859
Objective: realtime monitoring of invasive ventilation (iV) in intensive care units (ICUs) plays a crucial role in ensuring prompt interventions and better patient outcomes. However, conventional methods often overlook valuable insights embedded with
Externí odkaz:
http://arxiv.org/abs/2410.03725
Autor:
Lei, Jiuzhou, Prabhu, Ankit, Liu, Xu, Cladera, Fernando, Mortazavi, Mehrad, Ehsani, Reza, Chaudhari, Pratik, Kumar, Vijay
Automated persistent and fine-grained monitoring of orchards at the individual tree or fruit level helps maximize crop yield and optimize resources such as water, fertilizers, and pesticides while preventing agricultural waste. Towards this goal, we
Externí odkaz:
http://arxiv.org/abs/2409.19786
Publikováno v:
Archives of Razi Institute, Vol 76, Iss 2, Pp 371-384 (2021)
The current study aimed to determine the effect of metformin (MET) on histopathologic evaluation and antioxidant enzyme activity in experimental varicocele-induced rats. A total of 60 rats were randomly divided into six experimental groups. Group 1 (
Externí odkaz:
https://doaj.org/article/c25a8ddc52ba44d8815fba4b77c90c41
