Zobrazeno 1 - 10
of 27 501
pro vyhledávání: '"Yalin An"'
Publikováno v:
Asian Journal of Pharmaceutical Sciences, Vol 18, Iss 5, Pp 100848- (2023)
Virus-capsid mimicking mucus-permeable nanoparticles are promising oral insulin carriers which surmount intestinal mucus barrier. However, the impact of different virus-capsid mimicking structure remains unexplored. In this study, utilizing biotin gr
Externí odkaz:
https://doaj.org/article/88104757c2084687adac33093ebe6881
Retinal fundus photography enhancement is important for diagnosing and monitoring retinal diseases. However, early approaches to retinal image enhancement, such as those based on Generative Adversarial Networks (GANs), often struggle to preserve the
Externí odkaz:
http://arxiv.org/abs/2411.01403
Autor:
Farazi, Mohammad, Wang, Yalin
Utilizing patch-based transformers for unstructured geometric data such as polygon meshes presents significant challenges, primarily due to the absence of a canonical ordering and variations in input sizes. Prior approaches to handling 3D meshes and
Externí odkaz:
http://arxiv.org/abs/2411.00164
Radio frequency (RF) communication has been an important part of civil and military communication for decades. With the increasing complexity of wireless environments and the growing number of devices sharing the spectrum, it has become critical to e
Externí odkaz:
http://arxiv.org/abs/2410.18283
With the rapid development of deep learning, CNN-based U-shaped networks have succeeded in medical image segmentation and are widely applied for various tasks. However, their limitations in capturing global features hinder their performance in comple
Externí odkaz:
http://arxiv.org/abs/2410.15036
Deep Reinforcement Learning (DRL) has been highly effective in learning from and adapting to RF environments and thus detecting and mitigating jamming effects to facilitate reliable wireless communications. However, traditional DRL methods are suscep
Externí odkaz:
http://arxiv.org/abs/2410.10521
In recent years, significant progress has been made in the medical image analysis domain using convolutional neural networks (CNNs). In particular, deep neural networks based on a U-shaped architecture (UNet) with skip connections have been adopted f
Externí odkaz:
http://arxiv.org/abs/2410.11578
Autor:
Demir, Utku, Davaslioglu, Kemal, Sagduyu, Yalin E., Erpek, Tugba, Anderson, Gustave, Kompella, Sastry
Integrated Sensing and Communication (ISAC) represents a transformative approach within 5G and beyond, aiming to merge wireless communication and sensing functionalities into a unified network infrastructure. This integration offers enhanced spectrum
Externí odkaz:
http://arxiv.org/abs/2410.08999
Autor:
Costa, Maice, Sagduyu, Yalin E.
Publikováno v:
Proc. 2024 IEEE International Conference on Communications Workshops, pp.554-559. %\thanks{Peer-reviewed version in Proc. 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA, 2024, pp. 554-559
We consider the transfer of time-sensitive information in next-generation (NextG) communication systems in the presence of a deep learning based eavesdropper capable of jamming detected transmissions, subject to an average power budget. A decoy-based
Externí odkaz:
http://arxiv.org/abs/2410.08045
Autor:
Costa, Maice, Sagduyu, Yalin E.
Publikováno v:
In proceedings on IEEE VTC-Fall 2024 Conference
We consider the communication of time-sensitive information in NextG spectrum sharing where a deep learning-based classifier is used to identify transmission attempts. While the transmitter seeks for opportunities to use the spectrum without causing
Externí odkaz:
http://arxiv.org/abs/2410.05501