Zobrazeno 1 - 10
of 1 534
pro vyhledávání: '"Chi Han"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 18910-18928 (2024)
This paper studies a stochastic Leslie-Gower model with a Holling-II functional response that is driven by the Ornstein-Uhlenbeck process. Some asymptotic properties of the solution of the stochastic Leslie-Gower model are introduced: The existence a
Externí odkaz:
https://doaj.org/article/05731aa167424b63b49fb495e9f60adf
Autor:
Siyang Shen, Bendong Fu, Ling Deng, Guoqiang Zhu, Haitao Shi, Guang Tian, Chi Han, Pengfei Yi, Luyuan Peng
Publikováno v:
Poultry Science, Vol 103, Iss 7, Pp 103866- (2024)
ABSTRACT: Avian pathogenic Escherichia coli (APEC) is the causative agent of chicken colibacillosis. Paeoniflorin, a natural ingredient extracted from Paeonia lactiflora, has a variety of pharmacological effects including anti-inflammatory and immuno
Externí odkaz:
https://doaj.org/article/c6be2ac2b1ec49e6858870b5ae0166dc
Publikováno v:
Aerospace, Vol 11, Iss 3, p 191 (2024)
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD)
Externí odkaz:
https://doaj.org/article/77bea020da6a463cbba8bcdc81618b44
Publikováno v:
Sensors, Vol 23, Iss 24, p 9789 (2023)
With the expansion of user scale in LEO satellite networks, unbalanced regional load and bursty network traffic lead to the problem of load disequilibrium. A distributed hops-based back-pressure (DHBP) routing is proposed. DHBP theoretically derives
Externí odkaz:
https://doaj.org/article/d5a36154eb174662b6eb32bd2df4d52e
Autor:
Chen, Chia-Chia, Peng, Chi-Han
We present a novel discrete optimization-based approach to generate downsampled versions of binary images that are guaranteed to have the same topology as the original, measured by the zeroth and first Betti numbers of the black regions, while having
Externí odkaz:
http://arxiv.org/abs/2407.17786
This work first explores using flexible beam-user mapping to optimize the beam service range and beam position, in order to adapt the non-uniform traffic demand to offer in high-throughput satellite (HTS) systems. Second, on this basis, the joint fle
Externí odkaz:
http://arxiv.org/abs/2407.08981
Social media popularity (SMP) prediction is a complex task involving multi-modal data integration. While pre-trained vision-language models (VLMs) like CLIP have been widely adopted for this task, their effectiveness in capturing the unique character
Externí odkaz:
http://arxiv.org/abs/2407.00556
Autor:
Hsu, Chih-Chung, Lee, Chia-Ming, Chiang, Yang Fan, Chou, Yi-Shiuan, Jiang, Chih-Yu, Tai, Shen-Chieh, Tsai, Chi-Han
Conventional Computed Tomography (CT) imaging recognition faces two significant challenges: (1) There is often considerable variability in the resolution and size of each CT scan, necessitating strict requirements for the input size and adaptability
Externí odkaz:
http://arxiv.org/abs/2404.01643
End-to-end automatic speech recognition (E2E ASR) systems often suffer from mistranscription of domain-specific phrases, such as named entities, sometimes leading to catastrophic failures in downstream tasks. A family of fast and lightweight named en
Externí odkaz:
http://arxiv.org/abs/2403.17645
Autor:
Hsu, Chih-Chung, Lee, Chia-Ming, Chiang, Yang Fan, Chou, Yi-Shiuan, Jiang, Chih-Yu, Tai, Shen-Chieh, Tsai, Chi-Han
This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images. Classic deep learning approaches face challenges with varying slice counts and resolutions in CT images, a diversity arising from the utilizat
Externí odkaz:
http://arxiv.org/abs/2403.11230