Zobrazeno 1 - 10
of 32 932
pro vyhledávání: '"Ly, P."'
Multi-damage is common in reinforced concrete structures and leads to the requirement of large number of neural networks, parameters and data storage, if convolutional neural network (CNN) is used for damage recognition. In addition, conventional CNN
Externí odkaz:
http://arxiv.org/abs/2408.15513
Autor:
Tabeshnezhad, Azadeh, Zhu, Yuqing, Vilenskiy, Artem, Nguyen, Van Ly, Swindlehurst, A. Lee, Svensson, Tommy
Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless communication systems due to its enhanced spectral efficiency. In this paper, we consider an uplink NOMA system operating together with a high-dimensional ab
Externí odkaz:
http://arxiv.org/abs/2408.16786
Autor:
Hoang, Ly Viet, Spodarev, Evgeny
We consider the class of stationary-increment harmonizable stable processes with infinite control measure, which most notably includes real harmonizable fractional stable motions. We give conditions for the integrability of the paths of such processe
Externí odkaz:
http://arxiv.org/abs/2408.09950
In this article, we continue our analysis for a novel recursive modification to the Max $k$-Cut algorithm using semidefinite programming as its basis, offering an improved performance in vectorized data clustering tasks. Using a dimension relaxation
Externí odkaz:
http://arxiv.org/abs/2408.07771
In this article, we introduce a novel recursive modification to the classical Goemans-Williamson MaxCut algorithm, offering improved performance in vectorized data clustering tasks. Focusing on the clustering of medical publications, we employ recurs
Externí odkaz:
http://arxiv.org/abs/2408.07763
Autor:
Ly, Jonathan
Many modern applications that deal with sensitive data, such as healthcare and government services, outsource computation to cloud platforms. In such untrusted environments, privacy is of vital importance. One solution to this problem is homomorphic
Externí odkaz:
http://arxiv.org/abs/2408.07304
Interdisciplinary collaboration is crucial for addressing complex scientific challenges. Recent advancements in large language models (LLMs) have shown significant potential in benefiting researchers across various fields. To explore the application
Externí odkaz:
http://arxiv.org/abs/2408.04163
Autor:
Tang, Feilong, Trinh, Matt, Duong, Annita, Ly, Angelica, Stapleton, Fiona, Chen, Zhe, Ge, Zongyuan, Razzak, Imran
Migraine, a prevalent neurological disorder, has been associated with various ocular manifestations suggestive of neuronal and microvascular deficits. However, there is limited understanding of the extent to which retinal imaging may discriminate bet
Externí odkaz:
http://arxiv.org/abs/2408.07293
Due to increased reliance on private vehicles and growing travel demand, parking remains a longstanding urban challenge globally. Quantifying parking perceptions is paramount as it enables decision-makers to identify problematic areas and make inform
Externí odkaz:
http://arxiv.org/abs/2407.05104
Autor:
Gillon, Colleen J., Baker, Cody, Ly, Ryan, Balzani, Edoardo, Brunton, Bingni W., Schottdorf, Manuel, Ghosh, Satrajit, Dehghani, Nima
Across the life sciences, an ongoing effort over the last 50 years has made data and methods more reproducible and transparent. This openness has led to transformative insights and vastly accelerated scientific progress. For example, structural biolo
Externí odkaz:
http://arxiv.org/abs/2407.00976