Zobrazeno 1 - 10
of 4 256
pro vyhledávání: '"LI Wentao"'
Publikováno v:
Sichuan jingshen weisheng, Vol 36, Iss 6, Pp 562-569 (2023)
BackgroundDepression， anxiety， impulse control disorders， insomnia are prevalent non-motor symptoms of Parkinson's disease， severely impairing the quality of life of patients. Cognitive behavioral therapy （CBT） is a common psychological i
Externí odkaz:
https://doaj.org/article/502a3d107a4c49289a69dcd8f614d141
Publikováno v:
Jixie chuandong, Vol 46, Pp 130-134 (2022)
A model for calculating the topological deviation of the actual tooth surface based on the coordinates of the detected cylindrical gear tooth surface points is established. The 3D tooth surface topological deviation map is constructed,and tooth profi
Externí odkaz:
https://doaj.org/article/5a2fac8c431f4db386b13a4d77def359
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 8191-41 (2024)
Sex hormone-binding globulin (SHBG) is a serum glycoprotein exhibiting the unique feature of binding sex steroids with high affinity and specificity. Over the past few decades, there have been significant breakthroughs in our understanding of the fun
Externí odkaz:
https://doaj.org/article/58032c3603304f58a1d3595e822f7c05
Autor:
LI Wentao, PENG Li
Publikováno v:
Jisuanji kexue yu tansuo, Vol 15, Iss 12, Pp 2390-2400 (2021)
The current implementation of small object detection algorithms is mainly to design various feature fusion modules. It is difficult to achieve a balance between the detection effect and the model complexity. In addition, compared with regular object,
Externí odkaz:
https://doaj.org/article/0afde140015448bab33bc279f5b61a25
The rapid proliferation of fake news on social media threatens social stability, creating an urgent demand for more effective detection methods. While many promising approaches have emerged, most rely on content analysis with limited semantic depth,
Externí odkaz:
http://arxiv.org/abs/2412.05672
Significant advancements have been made in semantic image synthesis in remote sensing. However, existing methods still face formidable challenges in balancing semantic controllability and diversity. In this paper, we present a Hybrid Semantic Embeddi
Externí odkaz:
http://arxiv.org/abs/2411.14781
Approximate K nearest neighbor (AKNN) search in high-dimensional Euclidean space is a fundamental problem with widespread applications. Vector quantization which maps vectors to discrete quantized code, can significantly reduce the space cost of AKNN
Externí odkaz:
http://arxiv.org/abs/2411.06158
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 02, Pp 131-140 (2021)
Aimed at the problem of instability and deviation of multiple training model in limited samples, this paper proposes a method of distance metric learning based on the Gaussian mixture model, which can solve this problem more reasonably by dividing th
Externí odkaz:
https://doaj.org/article/b3062be502e4437dade77db9156d233a
Autor:
Lyu, Yanjun, Wu, Zihao, Zhang, Lu, Zhang, Jing, Li, Yiwei, Ruan, Wei, Liu, Zhengliang, Yu, Xiaowei, Cao, Chao, Chen, Tong, Chen, Minheng, Zhuang, Yan, Li, Xiang, Liu, Rongjie, Huang, Chao, Li, Wentao, Liu, Tianming, Zhu, Dajiang
Pre-trained large language models(LLMs) have attracted increasing attention in biomedical domains due to their success in natural language processing. However, the complex traits and heterogeneity of multi-sources genomics data pose significant chall
Externí odkaz:
http://arxiv.org/abs/2409.09825
Continual learning (CL) breaks off the one-way training manner and enables a model to adapt to new data, semantics and tasks continuously. However, current CL methods mainly focus on single tasks. Besides, CL models are plagued by catastrophic forget
Externí odkaz:
http://arxiv.org/abs/2407.14242