Zobrazeno 1 - 10
of 8 570
pro vyhledávání: '"Ghafouri, A."'
Autor:
Ghafouri, Bijean, Mohammadzadeh, Shahrad, Zhou, James, Nair, Pratheeksha, Tian, Jacob-Junqi, Goel, Mayank, Rabbany, Reihaneh, Godbout, Jean-François, Pelrine, Kellin
Large language models are increasingly relied upon as sources of information, but their propensity for generating false or misleading statements with high confidence poses risks for users and society. In this paper, we confront the critical problem o
Externí odkaz:
http://arxiv.org/abs/2411.06528
Since the 6th Generation (6G) of wireless networks is expected to provide a new level of network services and meet the emerging expectations of the future, it will be a complex and intricate networking system. 6Gs sophistication and robustness will b
Externí odkaz:
http://arxiv.org/abs/2410.23161
Autor:
Ghafouri, Ali, Biros, George
We present a multi-species partial differential equation (PDE) model for tumor growth and a an algorithm for calibrating the model from magnetic resonance imaging (MRI) scans. The model is designed for glioblastoma (GBM) brain tumors. The modeled spe
Externí odkaz:
http://arxiv.org/abs/2408.13903
Recently, there has been growing attention to study uncertainty measures for doubly truncated random variables. In this paper, the concept of varextropy for doubly truncated random variables is introduced. The changes of this measure under linear tra
Externí odkaz:
http://arxiv.org/abs/2407.21423
The online trend of the manosphere and feminist discourse on social networks requires a holistic measure of the level of sexism in an online community. This indicator is important for policymakers and moderators of online communities (e.g., subreddit
Externí odkaz:
http://arxiv.org/abs/2404.02205
Mobile and IoT applications increasingly adopt deep learning inference to provide intelligence. Inference requests are typically sent to a cloud infrastructure over a wireless network that is highly variable, leading to the challenge of dynamic Servi
Externí odkaz:
http://arxiv.org/abs/2404.00704
We propose a method that uses a two-species ordinary differential equation (ODE) model to characterize misfolded tau (or simply tau) protein spreading in Alzheimer's disease (AD) and calibrates it from clinical data. The unknown model parameters are
Externí odkaz:
http://arxiv.org/abs/2402.06880
Autor:
Abbasi, Mohammad Amin, Ghafouri, Arash, Firouzmandi, Mahdi, Naderi, Hassan, Bidgoli, Behrouz Minaei
Despite the widespread use of the Persian language by millions globally, limited efforts have been made in natural language processing for this language. The use of large language models as effective tools in various natural language processing tasks
Externí odkaz:
http://arxiv.org/abs/2312.15713
Although system heterogeneity has been extensively studied in the past, there is yet to be a study on measuring the impact of heterogeneity on system performance. For this purpose, we propose a heterogeneity measure that can characterize the impact o
Externí odkaz:
http://arxiv.org/abs/2312.03235
Autor:
Abdollahi, Mirsaeed, Jafarizadeh, Ali, Asbagh, Amirhosein Ghafouri, Sobhi, Navid, Pourmoghtader, Keysan, Pedrammehr, Siamak, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Acharya, U. Rajendra
Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related topics. Th
Externí odkaz:
http://arxiv.org/abs/2311.07609