Zobrazeno 91 - 100
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pro vyhledávání: '"Zeng P"'
As the mobile communication network evolves over the past few decades, localizing user equipment (UE) has become an important network service. While localization in line-of-sight (LoS) scenarios has reached a level of maturity, it is known that in fa
Externí odkaz:
http://arxiv.org/abs/2407.20536
Wave-exciting is a universal phenomenon in physical and biological excitable systems. Here we show that colloidal systems of Quincke rollers which are driven periodically can condense into active liquids and active crystals, in which waves can be exc
Externí odkaz:
http://arxiv.org/abs/2407.19716
Autor:
Agyemang, Isaac Osei, Chen, Jianwen, Zeng, Liaoyuan, Adjei-Mensah, Isaac, Acheampong, Daniel, Boateng, Gordon Owusu, Baffour, Adu Asare
Image environments and noisy labels hinder deep learning-based inference models in structural damage detection. Post-detection, there is the challenge of reliance on manual assessments of detected damages. As a result, Guided-DetNet, characterized by
Externí odkaz:
http://arxiv.org/abs/2407.19694
Although the widespread use of AI systems in today's world is growing, many current AI systems are found vulnerable due to hidden bias and missing information, especially in the most commonly used forecasting system. In this work, we explore the robu
Externí odkaz:
http://arxiv.org/abs/2407.19688
Autor:
Wang, Shaowei, Yang, Ruilin, Zeng, Sufen, Yu, Kaiqi, Mei, Rundong, Huang, Shaozheng, Yang, Wei
The shuffle model of differential privacy (DP) offers compelling privacy-utility trade-offs in decentralized settings (e.g., internet of things, mobile edge networks). Particularly, the multi-message shuffle model, where each user may contribute mult
Externí odkaz:
http://arxiv.org/abs/2407.19639
Researching the specificity of TCR contributes to the development of immunotherapy and provides new opportunities and strategies for personalized cancer immunotherapy. Therefore, we established a TCR generative specificity detection framework consist
Externí odkaz:
http://arxiv.org/abs/2407.19349
We resolve subtleties in calculating the post-Minksowskian dynamics of binary systems, as a spin expansion, from massive scattering amplitudes of fixed finite spin. In particular, the apparently ambiguous spin Casimir terms can be fully determined fr
Externí odkaz:
http://arxiv.org/abs/2407.19005
Disentangled representation learning (DRL) aims to identify and decompose underlying factors behind observations, thus facilitating data perception and generation. However, current DRL approaches often rely on the unrealistic assumption that semantic
Externí odkaz:
http://arxiv.org/abs/2407.18999
Autor:
Si, Zhi-Zeng, Wang, Da-Lei, Zhu, Bo-Wei, Ju, Zhen-Tao, Wang, Xue-Peng, Liu, Wei, Malomed, Boris A., Wang, Yue-Yue, Dai, Chao-Qing
Soliton pulsations are ubiquitous feature of non-stationary soliton dynamics in mode-locked lasers and many other physical systems. To overcome difficulties related to huge amount of necessary computations and low efficiency of traditional numerical
Externí odkaz:
http://arxiv.org/abs/2407.18725
Autor:
Zeng, Xueying, Shi, Bin
The generalized Lasso is a remarkably versatile and extensively utilized model across a broad spectrum of domains, including statistics, machine learning, and image science. Among the optimization techniques employed to address the challenges posed b
Externí odkaz:
http://arxiv.org/abs/2407.18681