Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Tuo, Shi"'
Front-line police officers often categorize all police call reported cases of Telecom Fraud into 14 subcategories to facilitate targeted prevention measures, such as precise public education. However, the associated data is characterized by its large
Externí odkaz:
http://arxiv.org/abs/2411.06772
Police incident data is crucial for public security intelligence, yet grassroots agencies struggle with efficient classification due to manual inefficiency and automated system limitations, especially in telecom and online fraud cases. This research
Externí odkaz:
http://arxiv.org/abs/2411.06749
Autor:
Zhe Feng, Zuheng Wu, Xu Wang, Xiuquan Fang, Xumeng Zhang, Jianxun Zou, Jian Lu, Wenbin Guo, Xing Li, Tuo Shi, Zuyu Xu, Yunlai Zhu, Fei Yang, Yuehua Dai, Qi Liu
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 10, Pp n/a-n/a (2024)
Abstract Memristor, with the ability of analog computing, is widely investigated for improving the computing efficiency of deep neural networks (DNNs) deployment. However, how to fully take advantage of the analog computing ability of memristive comp
Externí odkaz:
https://doaj.org/article/569e89326b664ec2a29cda3df038dd81
Autor:
Yue Yang, Fangduo Zhu, Xumeng Zhang, Pei Chen, Yongzhou Wang, Jiaxue Zhu, Yanting Ding, Lingli Cheng, Chao Li, Hao Jiang, Zhongrui Wang, Peng Lin, Tuo Shi, Ming Wang, Qi Liu, Ningsheng Xu, Ming Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Neural circuits with specific structures and diverse neuronal firing features are the foundation for supporting intelligent tasks in biology and are regarded as the driver for catalyzing next-generation artificial intelligence. Emulating neu
Externí odkaz:
https://doaj.org/article/0b7dd94a3ed4406c87e7cda4fafc03e0
Autor:
Jianhang Liu, Jiao Liu, Jiajun Li, Xiaojia Zhao, Guannan Sun, Qianqian Qiao, Tuo Shi, Bin Che, Jiuzhou Chen, Qianqian Zhuang, Yu Wang, Jibin Sun, Deqiang Zhu, Ping Zheng
Publikováno v:
Bioresources and Bioprocessing, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract l-Threonine is an important feed additive with the third largest market size among the amino acids produced by microbial fermentation. The GRAS (generally regarded as safe) industrial workhorse Corynebacterium glutamicum is an attractive cha
Externí odkaz:
https://doaj.org/article/66c1f635775d43f6bc2d59c64c4f0c81
Publikováno v:
Journal of Safety Science and Resilience, Vol 4, Iss 4, Pp 340-347 (2023)
Telecom network fraud has become the most common and concerning type of crime and is an important public security incident that threatens urban resilience. Therefore, preventing a continuous rise in telecommunications and network fraud will help esta
Externí odkaz:
https://doaj.org/article/42aa5468b26b4b36840f77ab0edc1c5f
Autor:
Chenying Wang, Xinqing Zheng, Hagit Kvitt, Huaxia Sheng, Danye Sun, Gaofeng Niu, Dan Tchernov, Tuo Shi
Publikováno v:
Microbiome, Vol 11, Iss 1, Pp 1-15 (2023)
Abstract Background Ocean warming is a leading cause of increasing episodes of coral bleaching, the dissociation between coral hosts and their dinoflagellate algal symbionts in the family Symbiodiniaceae. While the diversity and flexibility of Symbio
Externí odkaz:
https://doaj.org/article/02c5341ae25e4982a18ba662a59e88f6
Autor:
Wei Pu, Jiuzhou Chen, Yingyu Zhou, Huamin Qiu, Tuo Shi, Wenjuan Zhou, Xuan Guo, Ningyun Cai, Zijian Tan, Jiao Liu, Jinhui Feng, Yu Wang, Ping Zheng, Jibin Sun
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 16, Iss 1, Pp 1-16 (2023)
Abstract Background 5-Aminolevulinic acid (5-ALA) is a promising biostimulant, feed nutrient, and photodynamic drug with wide applications in modern agriculture and therapy. Although microbial production of 5-ALA has been improved realized by using m
Externí odkaz:
https://doaj.org/article/88fa2651067c49288dc02b462e12214f
Autor:
Rui Wang, Tuo Shi, Xumeng Zhang, Jinsong Wei, Jian Lu, Jiaxue Zhu, Zuheng Wu, Qi Liu, Ming Liu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Self-organizing maps are data mining tools for unsupervised learning algorithms dealing with big data problems. The authors experimentally demonstrate a memristor-based self-organizing map that is more efficient in computing speed and energy consumpt
Externí odkaz:
https://doaj.org/article/77ca6df3d7dd416cbf76bef74867e6d6