Zobrazeno 1 - 10
of 15 396
pro vyhledávání: '"Mingzhe An"'
Publikováno v:
Case Studies in Construction Materials, Vol 21, Iss , Pp e03812- (2024)
The construction of deeply buried tunnels has intensified concerns regarding shrinkage cracking and the long-term performance deterioration of lining concrete in dry-hot environments. These issues are related to the dynamic interconversion of interna
Externí odkaz:
https://doaj.org/article/61873a6ab60d4116b64254632093f76c
Publikováno v:
Case Studies in Construction Materials, Vol 18, Iss , Pp e02055- (2023)
Ultra-high-performance concrete (UHPC) can be strategically applied in the lower part of a beam and combined with normal-strength concrete (NC) to achieve a more cost-effective design. The purpose of this research was to assess the effects of the UHP
Externí odkaz:
https://doaj.org/article/70e413c6fae04fb3b7db1da96912c9d4
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9946 (2023)
Unhydrated cementitious materials in high-performance concrete (HPC) and ultra-high-performance concrete (UHPC) undergo further hydration when they are further supplied with water. A further hydration experiment on cement pastes was conducted to stud
Externí odkaz:
https://doaj.org/article/5d936e679b774d8582d84cc0c6733061
Autor:
Deng, Xianglong, Fan, Shengyu, Hu, Zhicheng, Tian, Zhuoyu, Yang, Zihao, Yu, Jiangrui, Cao, Dingyuan, Meng, Dan, Hou, Rui, Li, Meng, Lou, Qian, Zhang, Mingzhe
In this paper, we present the first multi-modal FHE accelerator based on a unified architecture, which efficiently supports CKKS, TFHE, and their conversion scheme within a single accelerator. To achieve this goal, we first analyze the theoretical fo
Externí odkaz:
http://arxiv.org/abs/2410.13405
Integrating IoT technology into basketball action recognition enhances sports analytics, providing crucial insights into player performance and game strategy. However, existing methods often fall short in terms of accuracy and efficiency, particularl
Externí odkaz:
http://arxiv.org/abs/2410.09954
Autor:
Feng, Peijie, Tan, Yong, Chong, Mingzhe, Li, Lintao, Zhang, Zongkun, Liu, Fubei, Tan, Yunhua, Wen, Yongzheng
Diffractive deep neural network (D2NN), known for its high speed, low power consumption, and strong parallelism, has been widely applied across various fields, including pattern recognition, image processing, and image transmission. However, existing
Externí odkaz:
http://arxiv.org/abs/2409.20346
Autor:
Gong, Xueluan, Li, Mingzhe, Zhang, Yilin, Ran, Fengyuan, Chen, Chen, Chen, Yanjiao, Wang, Qian, Lam, Kwok-Yan
Large Language Models (LLMs) have excelled in various tasks but are still vulnerable to jailbreaking attacks, where attackers create jailbreak prompts to mislead the model to produce harmful or offensive content. Current jailbreak methods either rely
Externí odkaz:
http://arxiv.org/abs/2409.14866
Large language models (LLMs) have been widely applied to assist test generation with the source code under test provided as the context. This paper aims to answer the question: If the source code under test is incorrect, will LLMs be misguided when g
Externí odkaz:
http://arxiv.org/abs/2409.09464
The study of cosmic birefringence through Cosmic Microwave Background (CMB) experiments is a key research area in cosmology and particle physics, providing a critical test for Lorentz and CPT symmetries. This paper focuses on an upcoming CMB experime
Externí odkaz:
http://arxiv.org/abs/2409.01098
The inherent "black box" nature of deep neural networks (DNNs) compromises their transparency and reliability. Recently, explainable AI (XAI) has garnered increasing attention from researchers. Several perturbation-based interpretations have emerged.
Externí odkaz:
http://arxiv.org/abs/2408.13397