Zobrazeno 1 - 10
of 14 723
pro vyhledávání: '"LUO, Wei"'
Raman spectroscopy, as a label-free detection technology, has been widely utilized in the clinical diagnosis of pathogenic bacteria. However, Raman signals are naturally weak and sensitive to the condition of the acquisition process. The characterist
Externí odkaz:
http://arxiv.org/abs/2412.08241
Raman spectroscopy has attracted significant attention in various biochemical detection fields, especially in the rapid identification of pathogenic bacteria. The integration of this technology with deep learning to facilitate automated bacterial Ram
Externí odkaz:
http://arxiv.org/abs/2412.08131
Autor:
Lin, Hexiang, Zhu, Huihui, Tang, Zan, Luo, Wei, Wang, Wei, Mak, Man-Wai, Jiang, Xudong, Chin, Lip Ket, Kwek, Leong Chuan, Liu, Ai Qun
Quantum computing holds promise across various fields, particularly with the advent of Noisy Intermediate-Scale Quantum (NISQ) devices, which can outperform classical supercomputers in specific tasks. However, challenges such as noise and limited qub
Externí odkaz:
http://arxiv.org/abs/2412.02955
This paper addresses the challenges of Online Action Recognition (OAR), a framework that involves instantaneous analysis and classification of behaviors in video streams. OAR must operate under stringent latency constraints, making it an indispensabl
Externí odkaz:
http://arxiv.org/abs/2412.01267
Deep neural networks (DNNs) are susceptible to backdoor attacks, where adversaries poison datasets with adversary-specified triggers to implant hidden backdoors, enabling malicious manipulation of model predictions. Dataset purification serves as a p
Externí odkaz:
http://arxiv.org/abs/2411.19479
The edge states of a quantum spin Hall insulator exhibit helical properties, which has generated significant interest in the field of spintronics. Although it is predicted theoretically that Rashba spin-orbit coupling can effectively regulate edge st
Externí odkaz:
http://arxiv.org/abs/2411.17220
Autor:
Liu, Xian-Xian, Xu, Mingkun, Wei, Yuanyuan, Qin, Huafeng, Song, Qun, Fong, Simon, Tien, Feng, Luo, Wei, Gao, Juntao, Zhang, Zhihua, Siu, Shirley
Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is critical in life-saving medical procedures. Traditional methods grapp
Externí odkaz:
http://arxiv.org/abs/2411.14385
Autor:
Wang, Tao, Zou, Mingjie, Zhang, Dehe, Ku, Yu-Chieh, Zheng, Yawen, Pan, Shen, Ren, Zhongqi, Xu, Zedong, Huang, Haoliang, Luo, Wei, Tang, Yunlong, Chen, Lang, Liu, Cheng-En, Chang, Chun-Fu, Das, Sujit, Bellaiche, Laurent, Yang, Yurong, Ma, Xiuliang, Kuo, Chang-Yang, Liu, Xingjun, Chen, Zuhuang
Publikováno v:
Matter 8, 1-11, 2025
Efforts to combine the advantages of multiple systems to enhance functionlities through solid solution design present a great challenge due to the constraint imposed by the classical Vegard law. Here, we successfully navigate this trade off by levera
Externí odkaz:
http://arxiv.org/abs/2410.12252
Autor:
Xu, Yingjing, Cai, Xueyan, Zhou, Zihong, Xue, Mengru, Wang, Bo, Wang, Haotian, Li, Zhengke, Weng, Chentian, Luo, Wei, Yao, Cheng, Lin, Bo, Yin, Jianwei
Hypomimia is a non-motor symptom of Parkinson's disease that manifests as delayed facial movements and expressions, along with challenges in articulation and emotion. Currently, subjective evaluation by neurologists is the primary method for hypomimi
Externí odkaz:
http://arxiv.org/abs/2410.09772
Multi-instance Repetitive Action Counting (MRAC) aims to estimate the number of repetitive actions performed by multiple instances in untrimmed videos, commonly found in human-centric domains like sports and exercise. In this paper, we propose MultiC
Externí odkaz:
http://arxiv.org/abs/2409.04035