Zobrazeno 1 - 10
of 54 635
pro vyhledávání: '"Rizwan, A."'
Autor:
Sultan, Muhammad Ahmad, Chen, Chong, Liu, Yingmin, Gil, Katarzyna, Zareba, Karolina, Ahmad, Rizwan
Objective: To propose and validate an unsupervised MRI reconstruction method that does not require fully sampled k-space data. Materials and Methods: The proposed method, deep image prior with structured sparsity (DISCUS), extends the deep image prio
Externí odkaz:
http://arxiv.org/abs/2501.01482
Autor:
Dihan, Mahir Labib, Hassan, Md Tanvir, Parvez, Md Tanvir, Hasan, Md Hasebul, Alam, Md Almash, Cheema, Muhammad Aamir, Ali, Mohammed Eunus, Parvez, Md Rizwan
Recent advancements in foundation models have enhanced AI systems' capabilities in autonomous tool usage and reasoning. However, their ability in location or map-based reasoning - which improves daily life by optimizing navigation, facilitating resou
Externí odkaz:
http://arxiv.org/abs/2501.00316
Mapping and navigation services like Google Maps, Apple Maps, Openstreet Maps, are essential for accessing various location-based data, yet they often struggle to handle natural language geospatial queries. Recent advancements in Large Language Model
Externí odkaz:
http://arxiv.org/abs/2412.21015
This article discusses the evolving role of artificial intelligence (AI) in the legal profession, focusing on its potential to streamline tasks such as document review, research, and contract drafting. However, challenges persist, particularly the oc
Externí odkaz:
http://arxiv.org/abs/2412.20468
Autor:
Dementieva, Daryna, Babakov, Nikolay, Ronen, Amit, Ayele, Abinew Ali, Rizwan, Naquee, Schneider, Florian, Wang, Xintong, Yimam, Seid Muhie, Moskovskiy, Daniil, Stakovskii, Elisei, Kaufman, Eran, Elnagar, Ashraf, Mukherjee, Animesh, Panchenko, Alexander
Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital abusive speech remains a significant issue. One potential approach to
Externí odkaz:
http://arxiv.org/abs/2412.11691
A multitude of individuals across the globe grapple with motor disabilities. Neural prosthetics utilizing Brain-Computer Interface (BCI) technology exhibit promise for improving motor rehabilitation outcomes. The intricate nature of EEG data poses a
Externí odkaz:
http://arxiv.org/abs/2412.07175
Autor:
Vornehm, Marc, Chen, Chong, Sultan, Muhammad Ahmad, Arshad, Syed Murtaza, Han, Yuchi, Knoll, Florian, Ahmad, Rizwan
Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. Traditional breath-held imaging protocols, however, pose challenges for patients with arrhythmias or limited breath-holding capacity
Externí odkaz:
http://arxiv.org/abs/2412.04639
Video Highlight Detection and Moment Retrieval (HD/MR) are essential in video analysis. Recent joint prediction transformer models often overlook their cross-task dynamics and video-text alignment and refinement. Moreover, most models typically use l
Externí odkaz:
http://arxiv.org/abs/2412.01558
Autor:
Burns, Owen, Qureshi, Rizwan
We address the issue of the exploding computational requirements of recent State-of-the-art (SOTA) open set multimodel 3D mapping (dense 3D mapping) algorithms and present Voxel-Aggregated Feature Synthesis (VAFS), a novel approach to dense 3D mappin
Externí odkaz:
http://arxiv.org/abs/2411.10616
The work reports nonmagnetic behavior (0.04 $\mu$B) in two-dimensional (2D) V2C-OF MXene and ferromagnetism in MnO$_2$ adsorbed V2C-OF MXene. The density functional theory (DFT) calculations were carried out to study the magnetic moments of V$_2$C-OF
Externí odkaz:
http://arxiv.org/abs/2411.09536