Zobrazeno 1 - 10
of 1 998
pro vyhledávání: '"WAN Liang"'
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 2, Pp 323-334 (2024)
The imbalance and complexity of network traffic data are hot issues in the field of intrusion detection. To improve the detection rate of minority class attacks in network traffic, this paper presents a method for intrusion detection based on the rec
Externí odkaz:
https://doaj.org/article/8ac28a2b35d1447b97334f455804af52
Autor:
Mengfei Zhao, Rui Xie, Shuang Wang, Xi Huang, Hao Yang, Wenqing Wu, Lin Lin, Hongjian Chen, Jie Fan, Lin Hua, Wan Liang, Jianmin Zhang, Xiangru Wang, Huanchun Chen, Zhong Peng, Bin Wu
Publikováno v:
BMC Veterinary Research, Vol 18, Iss 1, Pp 1-14 (2022)
Abstract Background Salmonella is a leading foodborne and zoonotic pathogen, and is widely distributed in different nodes of the pork supply chain. In recent years, the increasing prevalence of antimicrobial resistant Salmonella poses a threat to glo
Externí odkaz:
https://doaj.org/article/5894ecc3b5e14f54a0cfed4d917569fc
Autor:
Songtao Liu, Lin Lin, Hao Yang, Wenqing Wu, Long Guo, Yue Zhang, Fei Wang, Xueying Wang, Wenbo Song, Lin Hua, Wan Liang, Xibiao Tang, Huanchun Chen, Zhong Peng, Bin Wu
Publikováno v:
Animal Diseases, Vol 1, Iss 1, Pp 1-6 (2021)
Abstract Pasteurella multocida is a leading cause of respiratory disorders in pigs. This study was designed to understand the genotypical and antimicrobial resistant characteristics of P. multocida from pigs in China. To achieve this, we briefly inve
Externí odkaz:
https://doaj.org/article/d1047a5a22ca43719c6c76ef65ba2c53
In this paper, we introduce iLLaVA, a simple method that can be seamlessly deployed upon current Large Vision-Language Models (LVLMs) to greatly increase the throughput with nearly lossless model performance, without a further requirement to train. i
Externí odkaz:
http://arxiv.org/abs/2412.06263
Autor:
Chen, Lei, Zhang, Sai, Xu, Fangzhou, Xing, Zhenchang, Wan, Liang, Zhang, Xiaowang, Feng, Zhiyong
In the task of code translation, neural network-based models have been shown to frequently produce semantically erroneous code that deviates from the original logic of the source code. This issue persists even with advanced large models. Although a r
Externí odkaz:
http://arxiv.org/abs/2410.22818
Publikováno v:
Phys. Rev. A 109, 023307 (2024)
Here we investigate the internal sublattice symmetry, and thus the enriched topological classification of bosonic Bogoliubov excitations of thermodynamically stable free-boson systems with non-vanishing particle-number-nonconserving terms. Specifical
Externí odkaz:
http://arxiv.org/abs/2410.19554
Autor:
Zhou, Zixian, Wan, Liang-Liang
Publikováno v:
J. Phys. A: Math. Theor. 57, 465203 (2024)
We rigorously yet concisely prove the bulk-edge correspondence for general $d$-dimensional ($d$D) topological insulators in complex Altland-Zirnbauer classes, which states that the bulk topological number equals to the edge-mode index. Specifically,
Externí odkaz:
http://arxiv.org/abs/2410.19539
Large-scale multimodal models have shown excellent performance over a series of tasks powered by the large corpus of paired multimodal training data. Generally, they are always assumed to receive modality-complete inputs. However, this simple assumpt
Externí odkaz:
http://arxiv.org/abs/2410.06558
Publikováno v:
智慧农业, Vol 3, Iss 1, Pp 40-50 (2021)
Accurate acquisition of crop canopy biochemical information is of great significance for monitoring crop growth and guiding precise fertilization. Previous vertical distribution researches of crop biochemical information were mainly based on hyperspe
Externí odkaz:
https://doaj.org/article/047239f2049445f28f0bf4ac13c7e633
Multimodal MRIs play a crucial role in clinical diagnosis and treatment. Feature disentanglement (FD)-based methods, aiming at learning superior feature representations for multimodal data analysis, have achieved significant success in multimodal lea
Externí odkaz:
http://arxiv.org/abs/2407.04916