Zobrazeno 1 - 10
of 3 909
pro vyhledávání: '"Luo Ting"'
Identification of critical nodes is a prominent topic in the study of complex networks. Numerous methods have been proposed, yet most exhibit inherent limitations. Traditional approaches primarily analyze specific structural features of the network;
Externí odkaz:
http://arxiv.org/abs/2406.16560
Underwater imaging often suffers from low quality due to factors affecting light propagation and absorption in water. To improve image quality, some underwater image enhancement (UIE) methods based on convolutional neural networks (CNN) and Transform
Externí odkaz:
http://arxiv.org/abs/2405.08419
Emotion decoding using Electroencephalography (EEG)-based affective brain-computer interfaces represents a significant area within the field of affective computing. In the present study, we propose a novel non-deep transfer learning method, termed as
Externí odkaz:
http://arxiv.org/abs/2404.15615
Autor:
Li, Junze, Hu, Junchao, Luo, Ting, Chen, Dongliang, Chen, Yingying, Liu, Zeyi, Gao, Dingshan, Wen, Xinglin, Li, Dehui
Active optical waveguides combine light source and waveguides together in an individual component, which are essential for the integrated photonic chips. Although 1D luminescent materials based optical waveguides were extensively investigated, 2D wav
Externí odkaz:
http://arxiv.org/abs/2404.05138
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 9, pp. 3679-3705.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-09-2022-0820
Publikováno v:
Food Science & Nutrition. Oct2024, Vol. 12 Issue 10, p7233-7241. 9p.
Autor:
Zhou, Xuyang, Kasian, Olga, Luo, Ting, Kim, Se-Ho, Zhang, Chenyu, Zhang, Siyuan, Lee, Subin, Thompson, Gregory B., Dehm, Gerhard, Gault, Baptiste, Raabe, Dierk
Dissolution of electrocatalysts during long-term and dynamic operation is a challenging problem in energy conversion and storage devices such as fuel cells and electrolyzers. To develop stable electrocatalysts, we adopt the design concept of segregat
Externí odkaz:
http://arxiv.org/abs/2209.13166
Autor:
Weng, Jiayi, Lin, Min, Huang, Shengyi, Liu, Bo, Makoviichuk, Denys, Makoviychuk, Viktor, Liu, Zichen, Song, Yufan, Luo, Ting, Jiang, Yukun, Xu, Zhongwen, Yan, Shuicheng
There has been significant progress in developing reinforcement learning (RL) training systems. Past works such as IMPALA, Apex, Seed RL, Sample Factory, and others, aim to improve the system's overall throughput. In this paper, we aim to address a c
Externí odkaz:
http://arxiv.org/abs/2206.10558
Underwater Image Enhancement (UIE) technology aims to tackle the challenge of restoring the degraded underwater images due to light absorption and scattering. To address problems, a novel U-Net based Reinforced Swin-Convs Transformer for the Underwat
Externí odkaz:
http://arxiv.org/abs/2205.00434
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500