Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Zhaohui Jiang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Currently, image recognition based on deep neural networks has become the mainstream direction of research; therefore, significant progress has been made in its application in the field of tea detection. Many deep models exhibit high recogni
Externí odkaz:
https://doaj.org/article/103833e4f1bc44b193121b1df7dd2a56
Autor:
Xiangyang Zhang, Zhaohui Jiang, Jiayao Ma, Yaru Qi, Yin Li, Yan Zhang, Yihan Liu, Chaochao Wei, Yihong Chen, Ping Liu, Yinghui Peng, Jun Tan, Ying Han, Shan Zeng, Changjing Cai, Hong Shen
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Background The long-term impacts of COVID-19 on human health are a major concern, yet comprehensive evaluations of its effects on various health conditions are lacking. Methods This study aims to evaluate the role of various diseases in rela
Externí odkaz:
https://doaj.org/article/37c358585b4f48ae81803b52f33be2c5
Autor:
Wei Li, Xing Liu, Yifan Wang, Lu Peng, Xin Jin, Zhaohui Jiang, Zengge Guo, Jie Chen, Wenyu Wang
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-20 (2024)
Abstract With the popularity of smart terminals, wearable electronic devices have shown great market prospects, especially high-sensitivity pressure sensors, which can monitor micro-stimuli and high-precision dynamic external stimuli, and will have a
Externí odkaz:
https://doaj.org/article/c789728f2e59411fb1a44e68f8189c2c
Autor:
Guanpeng Zuo, Chenlu Zhang, Zhe Zheng, Wu Zhang, Ruiqing Wang, Jingqi Lu, Xiu Jin, Zhaohui Jiang, Yuan Rao
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4521-4533 (2024)
Abstract Knowledge distillation can transfer the knowledge from the pre-trained teacher model to the student model, thus effectively accomplishing model compression. Previous studies have carefully crafted knowledge representation, targeting loss fun
Externí odkaz:
https://doaj.org/article/f4bd5dee055f4506b9cbdd28b35d816a
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 5, Pp 102064- (2024)
Efficient attribute reduction algorithm capable of handling high dimensional big data is one of the hot topics of rough set theory, and some related researchers have achieved with |C| jobs. In this paper, we present the definition of a marked reducti
Externí odkaz:
https://doaj.org/article/b11cb82068564caa8db2874b98f56155
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8587 (2024)
Insulators are essential for electrical insulation and structural support in transmission lines. With the advancement of deep learning, object detection algorithms have become primary tools for detecting insulator defects. However, challenges such as
Externí odkaz:
https://doaj.org/article/c839f60f8b4747ebac6a58ec592bad9b
Autor:
Xinyu Liang, Wei Shi, Xinglong Zhang, Ran Pang, Kai Zhang, Qian Xu, Chunlei Xu, Xin Wan, Wenhao Cui, Dong Li, Zhaohui Jiang, Zhengxuan Liu, Hui Li, Huafeng Zhang, Zhijun Li
Publikováno v:
BMC Medical Genomics, Vol 16, Iss 1, Pp 1-12 (2023)
Abstract Background The relationship between aging and osteoporosis is well established. However, the relationship between the body's physiological age, i.e. epigenetic age, and osteoporosis is not known. Our goal is to analyze the bidirectional caus
Externí odkaz:
https://doaj.org/article/050064cc9d0b4977bf510ad44a876b07
Autor:
Tao Wang, Kunming Zhang, Wu Zhang, Ruiqing Wang, Shengmin Wan, Yuan Rao, Zhaohui Jiang, Lichuan Gu
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 2, Pp 267-275 (2023)
The accurate identification, detection, and segmentation of tea buds and leaves are important factors for realizing intelligent tea picking. A tea picking point location method based on the region-based convolutional neural network(R-CNN) Mask- RCNN
Externí odkaz:
https://doaj.org/article/34eb0db9b90d434daf2d861ba5de33d8
Autor:
Ruiqing Wang, Shengmin Wan, Wu Zhang, Chenlu Zhang, Yu Li, Shaoxiang Xu, Lifu Zhang, Xiu Jin, Zhaohui Jiang, Yuan Rao
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5779-5791 (2023)
Abstract Although the classification method based on the deep neural network has achieved excellent results in classification tasks, it is difficult to apply to real-time scenarios because of high memory footprints and prohibitive inference times. Co
Externí odkaz:
https://doaj.org/article/d36fcdc7f85a42f2875a19ecb3dc53af
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In this paper, we introduce a novel three-dimension chaotic system with strange characteristic by applying construction of a 3D chaotic circuit method. Multiple equilibria and abundant coexisting attractors exist in this system. A mathematic
Externí odkaz:
https://doaj.org/article/bdc135b0237243fda8e1a99295a0899b