Zobrazeno 1 - 10
of 1 020
pro vyhledávání: '"Chen Wentao"'
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e19125- (2023)
Developing new varieties of natural fibers that can grow throughout the year is very crucial to replace and avoid the bad effect of synthetic fiber. As a result of its beneficial role in protecting plants from abiotic stressors, melatonin (N-acetyl-5
Externí odkaz:
https://doaj.org/article/2ef9972997ed4aa4be051f735b94b0c8
Autor:
Zhang, Zeqing, Zheng, Guangze, Ji, Xuebo, Chen, Guanqi, Jia, Ruixing, Chen, Wentao, Chen, Guanhua, Zhang, Liangjun, Pan, Jia
Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require dedicated measurement equipment and also need large human efforts to hand
Externí odkaz:
http://arxiv.org/abs/2412.02119
Autor:
Zhang, Jialiang, Wang, Pengfei, Chen, Wentao, Cai, Zhengyang, Qiao, Mu, Li, Riling, Huang, Yingye, Tian, Haonan, Tu, Henchao, Cui, Kaifeng, Yan, Leilei, Zhang, Junhua, Zhang, Jingning, Yung, Manhong, Kim, Kihwan
Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work for subsequent utilization. Here, we report an experimental demonstration w
Externí odkaz:
http://arxiv.org/abs/2408.14373
Publikováno v:
Dianzi Jishu Yingyong, Vol 45, Iss 9, Pp 65-70 (2019)
SERDES(serial de-serialization) technology has become the mainstream physical layer specification of high-speed interface due to its high transmission rate and strong capacity of resisting disturbance. However, the upper PCS(physical coding sublayer)
Externí odkaz:
https://doaj.org/article/c6c2169c30d24ab0ab6ba1a006d6ca4d
Autor:
Wang, Junjie, Yang, Guangjing, Chen, Wentao, Yi, Huahui, Wu, Xiaohu, Lin, Zhouchen, Lao, Qicheng
In response to the challenges posed by the extensive parameter updates required for full fine-tuning of large-scale pre-trained models, parameter-efficient fine-tuning (PEFT) methods, exemplified by Low-Rank Adaptation (LoRA), have emerged. LoRA simp
Externí odkaz:
http://arxiv.org/abs/2405.18897
Autor:
Zhong, Linhao, Hong, Yan, Chen, Wentao, Zhou, Binglin, Zhang, Yiyi, Zhang, Jianfu, Zhang, Liqing
Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation. Current customization techniques often necessitate users to provide multiple images (typically 3-5) for each custo
Externí odkaz:
http://arxiv.org/abs/2405.16501
Dataset distillation, a pragmatic approach in machine learning, aims to create a smaller synthetic dataset from a larger existing dataset. However, existing distillation methods primarily adopt a model-based paradigm, where the synthetic dataset inhe
Externí odkaz:
http://arxiv.org/abs/2402.13007
Autor:
Chen, Wentao, Li, Jiwei, Xu, Xichen, Huang, Hui, Yuan, Siyu, Zhang, Miao, Xu, Tianming, Luo, Jie, Zhou, Weimin
[$^{18}$F]fluorodeoxyglucose (FDG) positron emission tomography (PET) has emerged as a crucial tool in identifying the epileptic focus, especially in cases where magnetic resonance imaging (MRI) diagnosis yields indeterminate results. FDG PET can pro
Externí odkaz:
http://arxiv.org/abs/2402.01191
Image-to-image translation is a common task in computer vision and has been rapidly increasing the impact on the field of medical imaging. Deep learning-based methods that employ conditional generative adversarial networks (cGANs), such as Pix2PixGAN
Externí odkaz:
http://arxiv.org/abs/2402.01186
Medical imaging systems that are designed for producing diagnostically informative images should be objectively assessed via task-based measures of image quality (IQ). Ideally, computation of task-based measures of IQ needs to account for all sources
Externí odkaz:
http://arxiv.org/abs/2402.01171