Zobrazeno 1 - 10
of 325
pro vyhledávání: '"Peng, Siyuan"'
This paper introduces the concept of a design tool for artistic performances based on attribute descriptions. To do so, we used a specific performance of falling actions. The platform integrates a novel machine-learning (ML) model with an interactive
Externí odkaz:
http://arxiv.org/abs/2404.00054
Accurately predicting anesthetic effects is essential for target-controlled infusion systems. The traditional (PK-PD) models for Bispectral index (BIS) prediction require manual selection of model parameters, which can be challenging in clinical sett
Externí odkaz:
http://arxiv.org/abs/2308.01929
Archives play a crucial role in preserving information and knowledge, and the exponential growth of such data necessitates efficient and automated tools for managing and utilizing archive information resources. Archival applications involve managing
Externí odkaz:
http://arxiv.org/abs/2307.14852
Autor:
Wang, Wenhao, Zhong, Ziqiao, Peng, Siyuan, Fu, Jintao, Chen, Minglong, Lang, Tianqun, Yue, Xiao, Fu, Yanping, He, Jingyu, Jin, Yuzhen, Huang, Ying, Wu, Chuanbin, Huang, Zhengwei, Pan, Xin
Publikováno v:
In Journal of Controlled Release September 2024 373:599-616
Publikováno v:
In Information Sciences January 2025 689
Publikováno v:
In Pattern Recognition January 2025 157
Autor:
Li, Guojia, Xu, Yan, Ye, Lanxin, Wang, Panpan, Peng, Siyuan, Zhou, Yuan, Liu, Hongxia, Shi, Qixun, Wang, Chuan
Publikováno v:
In Catalysis Today 1 January 2025 443
In recent years, there is an influx of deep learning models for 3D vehicle object detection. However, little attention was paid to orientation prediction. Existing research work proposed various vehicle orientation representation methods for deep lea
Externí odkaz:
http://arxiv.org/abs/2112.04421
Publikováno v:
In Neural Networks November 2024 179
Publikováno v:
In Mechanical Systems and Signal Processing 1 November 2024 220