Zobrazeno 1 - 10
of 2 945
pro vyhledávání: '"Jin Ting"'
Publikováno v:
Bioactive Materials, Vol 32, Iss , Pp 222-241 (2024)
Microneedles (MNs) is an emerging technology that employs needles ranging from 10 to 1000 μm in height, as a minimally invasive technique for various procedures such as therapeutics, disease monitoring and diagnostics. The commonly used method of fa
Externí odkaz:
https://doaj.org/article/fc3e3987ca01401b9e986bd3b8314d79
Publikováno v:
Shipin yu jixie, Vol 39, Iss 4, Pp 117-122 (2023)
Objective: To improve the quality of dried pitaya products. Methods: Based on the porous medium theory and Fick's law, a mathematical model of the coupling of heat and mass transfer of pitaya fruit with multiple physical fields of solid mechanics was
Externí odkaz:
https://doaj.org/article/fb3ae186a64d419496eb1999a3d1a19a
Publikováno v:
Shipin yu jixie, Vol 38, Iss 1, Pp 209-214 (2022)
Objective: This study focuses on optimizing the heat pump drying process of carrot. Methods: On the basis of single factor experiment, Box-Behnken experiment was designed. Color difference, rehydration ratio and β-carotene content were used to study
Externí odkaz:
https://doaj.org/article/2c6a27d130f646688217ed2dd778afef
The challenge of location testing for high-dimensional data in statistical inference is notable. Existing literature suggests various methods, many of which impose strong regularity conditions on underlying covariance matrices to ensure asymptotic no
Externí odkaz:
http://arxiv.org/abs/2410.16702
With recent breakthroughs in deep neural networks, numerous tasks within autonomous driving have exhibited remarkable performance. However, deep learning models are susceptible to adversarial attacks, presenting significant security risks to autonomo
Externí odkaz:
http://arxiv.org/abs/2409.07706
Autor:
Lin, Jiayu, Chen, Guanrong, Jin, Bojun, Li, Chenyang, Jia, Shutong, Lin, Wancong, Sun, Yang, He, Yuhang, Yang, Caihua, Bao, Jianzhu, Wu, Jipeng, Su, Wen, Chen, Jinglu, Li, Xinyi, Chen, Tianyu, Han, Mingjie, Du, Shuaiwen, Wang, Zijian, Li, Jiyin, Suo, Fuzhong, Wang, Hao, Lin, Nuanchen, Huang, Xuanjing, Jiang, Changjian, Xu, RuiFeng, Zhang, Long, Cao, Jiuxin, Jin, Ting, Wei, Zhongyu
In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative generation tasks in different
Externí odkaz:
http://arxiv.org/abs/2407.14829
Autor:
He, Jin-Ting, Tsai, Fu-Jen, Wu, Jia-Hao, Peng, Yan-Tsung, Tsai, Chung-Chi, Lin, Chia-Wen, Lin, Yen-Yu
Dynamic scene video deblurring aims to remove undesirable blurry artifacts captured during the exposure process. Although previous video deblurring methods have achieved impressive results, they suffer from significant performance drops due to the do
Externí odkaz:
http://arxiv.org/abs/2407.09059
Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine. This paper proposes a Gene-induced Multimodal Pre-training (GiMP) framework, which jointly incorporates genomic
Externí odkaz:
http://arxiv.org/abs/2309.02702
While there exists several inferential methods for analyzing functional data in factorial designs, there is a lack of statistical tests that are valid (i) in general designs, (ii) under non-restrictive assumptions on the data generating process and (
Externí odkaz:
http://arxiv.org/abs/2306.15259