Zobrazeno 1 - 10
of 5 285
pro vyhledávání: '"Zhong YAN"'
Autor:
Bingzhou Zhang, Jie Qing, Zhong Yan, Yuntong Shi, Zewei Wang, Jing Chen, Junxian Li, Shuangxi Li, Weisheng Wu, Xiaofang Hu, Yang Li, Xiaoyang Zhang, Lili Wu, Shouyue Zhu, Zheng Yan, Yongquan Wang, Xiaoli Guo, Ligen Yu, Xiaowen Li
Publikováno v:
Porcine Health Management, Vol 9, Iss 1, Pp 1-9 (2023)
Abstract Background Porcine epidemic diarrhea (PED) is a contagious intestinal disease caused by porcine epidemic diarrhea virus (PEDV) characterized by vomiting, diarrhea, anorexia, and dehydration, which has caused huge economic losses around the w
Externí odkaz:
https://doaj.org/article/2a52fb67a5fd47539220d2d682adb960
Publikováno v:
Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp id. 106559-11375 (2024)
Multilayer adhesive bonded structures/materials (MABS) are widely used as structural components, especially in the field of aerospace. However, for MABS workpieces, the facts that the weak echo of the deep interfacial debonding defects (DB) caused by
Externí odkaz:
https://doaj.org/article/d021e312c2364ee994e162d44428c873
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 2, Pp 33-41 (2023)
Cold rolling and heat treatment experiments of GH4169 alloy with different deformation were carried out. Effect of different cold rolling deformation and heat treatment state on microstructure and hardness of plate was analyzed. Cold rolling experime
Externí odkaz:
https://doaj.org/article/c697a348fdfe4eebb383fc7e0b72225d
Autor:
Zhao, Xinping, Hu, Baotian, Zhong, Yan, Huang, Shouzheng, Zheng, Zihao, Wang, Meng, Wang, Haofen, zhang, Min
Although prevailing supervised and self-supervised learning (SSL)-augmented sequential recommendation (SeRec) models have achieved improved performance with powerful neural network architectures, we argue that they still suffer from two limitations:
Externí odkaz:
http://arxiv.org/abs/2412.18378
Publikováno v:
Nano Select, Vol 2, Iss 9, Pp 1741-1749 (2021)
Abstract Antimonene, a new member of monoelemental two‐dimensional crystals composed of antimony atoms, was predicted to possess high stability, as well as outstanding electrical and optical properties. Here, we report on the experimental results o
Externí odkaz:
https://doaj.org/article/931495b8c79148ebbef9918a8bd15caa
Recent studies in Retrieval-Augmented Generation (RAG) have investigated extracting evidence from retrieved passages to reduce computational costs and enhance the final RAG performance, yet it remains challenging. Existing methods heavily rely on heu
Externí odkaz:
http://arxiv.org/abs/2410.11315
Autor:
Zhao, Xinping, Zhong, Yan, Sun, Zetian, Hu, Xinshuo, Liu, Zhenyu, Li, Dongfang, Hu, Baotian, Zhang, Min
Retrieval-Augmented Generation (RAG) prevails in Large Language Models. It mainly consists of retrieval and generation. The retrieval modules (a.k.a. retrievers) aim to find useful information used to facilitate generation modules (a.k.a. generators)
Externí odkaz:
http://arxiv.org/abs/2410.10293
Autor:
Zhong, Yan, Zhao, Ruoyu, Wang, Chao, Guo, Qinghai, Zhang, Jianguo, Lu, Zhichao, Leng, Luziwei
Spiking neural networks (SNNs) provide an energy-efficient solution by utilizing the spike-based and sparse nature of biological systems. Since the advent of Transformers, SNNs have struggled to compete with artificial networks on long sequential tas
Externí odkaz:
http://arxiv.org/abs/2410.17268
Diabetic foot neuropathy (DFN) is a critical factor leading to diabetic foot ulcers, which is one of the most common and severe complications of diabetes mellitus (DM) and is associated with high risks of amputation and mortality. Despite its signifi
Externí odkaz:
http://arxiv.org/abs/2409.14154
Autor:
Shen, Shuaijie, Wang, Chao, Huang, Renzhuo, Zhong, Yan, Guo, Qinghai, Lu, Zhichao, Zhang, Jianguo, Leng, Luziwei
Known as low energy consumption networks, spiking neural networks (SNNs) have gained a lot of attention within the past decades. While SNNs are increasing competitive with artificial neural networks (ANNs) for vision tasks, they are rarely used for l
Externí odkaz:
http://arxiv.org/abs/2408.14909