Zobrazeno 1 - 10
of 5 334
pro vyhledávání: '"A. Şahan"'
Autor:
Sahan, Nusret, Sucu, Erdem
In this research, we investigate the quantum and classical phase transitions of the Dirac particles in a homogeneously magnetized curved rotating 2+1 dimensional spacetime. We consider the intricate relationship between geometry and quantum phase eve
Externí odkaz:
http://arxiv.org/abs/2409.18535
What will the future of cislunar communications be? The ever-expanding horizons of the space exploration missions, and the need for establishing sustainable space communication and navigation infrastructure necessitate to think this question thorough
Externí odkaz:
http://arxiv.org/abs/2407.16672
Autor:
Sivayogaraj, Kaushalya, Guruge, Sahan T., Liyanage, Udari, Udupihille, Jeevani, Jayasinghe, Saroj, Fernando, Gerard, Rodrigo, Ranga, Liyanaarachchi, M. Rukshani
3D reconstruction of the liver for volumetry is important for qualitative analysis and disease diagnosis. Liver volumetry using ultrasound (US) scans, although advantageous due to less acquisition time and safety, is challenging due to the inherent n
Externí odkaz:
http://arxiv.org/abs/2406.19336
In multi-source status update systems, sources need to be scheduled appropriately to maintain timely communication between each of the sources and the monitor. A cyclic schedule is an age-agnostic schedule in which the sources are served according to
Externí odkaz:
http://arxiv.org/abs/2406.15541
In many federated learning (FL) models, a common strategy employed to ensure the progress in the training process, is to wait for at least $M$ clients out of the total $N$ clients to send back their local gradients based on a reporting deadline $T$,
Externí odkaz:
http://arxiv.org/abs/2405.15744
Recent advancements in Large Language Models (LLMs) have significantly increased their presence in human-facing Artificial Intelligence (AI) applications. However, LLMs could reproduce and even exacerbate stereotypical outputs from training data. Thi
Externí odkaz:
http://arxiv.org/abs/2404.01768
Autor:
Selcuk, Sahan Yoruc, Yang, Xilin, Bai, Bijie, Zhang, Yijie, Li, Yuzhu, Aydin, Musa, Unal, Aras Firat, Gomatam, Aditya, Guo, Zhen, Angus, Darrow Morgan, Kolodney, Goren, Atlan, Karine, Haran, Tal Keidar, Pillar, Nir, Ozcan, Aydogan
Publikováno v:
BME Frontiers (2024)
Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis. Accurate assessment of immunohistochemically (IHC) stained tissue sli
Externí odkaz:
http://arxiv.org/abs/2404.00837
Autor:
Yang, Xilin, Bai, Bijie, Zhang, Yijie, Aydin, Musa, Selcuk, Sahan Yoruc, Guo, Zhen, Fishbein, Gregory A., Atlan, Karine, Wallace, William Dean, Pillar, Nir, Ozcan, Aydogan
Publikováno v:
Nature Communications (2024)
Systemic amyloidosis is a group of diseases characterized by the deposition of misfolded proteins in various organs and tissues, leading to progressive organ dysfunction and failure. Congo red stain is the gold standard chemical stain for the visuali
Externí odkaz:
http://arxiv.org/abs/2403.09100
Side-channel attacks exploit variations in non-functional behaviors to expose sensitive information across security boundaries. Existing methods leverage side-channels based on power consumption, electromagnetic radiation, silicon substrate coupling,
Externí odkaz:
http://arxiv.org/abs/2403.08132
Convolutional Neural Networks (CNNs) have demonstrated outstanding performance in computer vision tasks such as image classification, detection, segmentation, and medical image analysis. In general, an arbitrary number of epochs is used to train such
Externí odkaz:
http://arxiv.org/abs/2403.02473