Zobrazeno 1 - 10
of 16 726
pro vyhledávání: '"A. Razi"'
Publikováno v:
Инфекция и иммунитет, Vol 12, Iss 5, Pp 869-874 (2022)
In the present study, we investigated the association between complement system status at the time of admission and clinical outcomes in COVID-19 patients. This single-center study was carried out with sixty-one adult patients with COVID-19 who were
Externí odkaz:
https://doaj.org/article/15fb4fdea7b34aaabe427b44429c96a7
Publikováno v:
Journal of Materials Research and Technology, Vol 19, Iss , Pp 3321-3336 (2022)
This study aims to investigate the monotonic uniaxial tensile/compressive properties and the high cycle fatigue behavior of aluminum alloy 7025 (Al 7025)/commercially pure magnesium (CP–Mg) bimetallic rods produced via rotary swaging method at ambi
Externí odkaz:
https://doaj.org/article/c34e1ae576f749b4bf992089176ec62c
We introduce Temporal Attention-enhanced Variational Graph Recurrent Neural Network (TAVRNN), a novel framework for analyzing the evolving dynamics of neuronal connectivity networks in response to external stimuli and behavioral feedback. TAVRNN capt
Externí odkaz:
http://arxiv.org/abs/2410.00665
Autor:
Mehrabi, Niloufar, Boroujeni, Sayed Pedram Haeri, Hofseth, Jenna, Razi, Abolfazl, Cheng, Long, Kaur, Manveen, Martin, James, Amin, Rahul
Unmanned Aerial Vehicles (UAVs) play an increasingly critical role in Intelligence, Surveillance, and Reconnaissance (ISR) missions such as border patrolling and criminal detection, thanks to their ability to access remote areas and transmit real-tim
Externí odkaz:
http://arxiv.org/abs/2410.10843
Autor:
Da Costa, Lancelot, Gavenčiak, Tomáš, Hyland, David, Samiei, Mandana, Dragos-Manta, Cristian, Pattisapu, Candice, Razi, Adeel, Friston, Karl
This paper offers a roadmap for the development of scalable aligned artificial intelligence (AI) from first principle descriptions of natural intelligence. In brief, a possible path toward scalable aligned AI rests upon enabling artificial agents to
Externí odkaz:
http://arxiv.org/abs/2410.00258
Autor:
Bian, Lingbin, Wang, Nizhuan, Li, Yuanning, Razi, Adeel, Wang, Qian, Zhang, Han, Shen, Dinggang, Consortium, the UNC/UMN Baby Connectome Project
The segregation and integration of infant brain networks undergo tremendous changes due to the rapid development of brain function and organization. Traditional methods for estimating brain modularity usually rely on group-averaged functional connect
Externí odkaz:
http://arxiv.org/abs/2407.13118
Autor:
Wang, Hao, Zhu, Wenhui, Qin, Jiayou, Li, Xin, Dumitrascu, Oana, Chen, Xiwen, Qiu, Peijie, Razi, Abolfazl
Detecting retinal image analysis, particularly the geometrical features of branching points, plays an essential role in diagnosing eye diseases. However, existing methods used for this purpose often are coarse-level and lack fine-grained analysis for
Externí odkaz:
http://arxiv.org/abs/2407.12271
Multiple instance learning (MIL) stands as a powerful approach in weakly supervised learning, regularly employed in histological whole slide image (WSI) classification for detecting tumorous lesions. However, existing mainstream MIL methods focus on
Externí odkaz:
http://arxiv.org/abs/2407.03575
Autor:
Zhu, Wenhui, Chen, Xiwen, Qiu, Peijie, Farazi, Mohammad, Sotiras, Aristeidis, Razi, Abolfazl, Wang, Yalin
Since its introduction, UNet has been leading a variety of medical image segmentation tasks. Although numerous follow-up studies have also been dedicated to improving the performance of standard UNet, few have conducted in-depth analyses of the under
Externí odkaz:
http://arxiv.org/abs/2406.14896
How do biological systems and machine learning algorithms compare in the number of samples required to show significant improvements in completing a task? We compared the learning efficiency of in vitro biological neural networks to the state-of-the-
Externí odkaz:
http://arxiv.org/abs/2405.16946