Zobrazeno 1 - 10
of 3 934
pro vyhledávání: '"DENG Hao"'
Publikováno v:
He huaxue yu fangshe huaxue, Vol 45, Iss 6, Pp 563-572 (2023)
Ammonium molybdophosphate(AMP) is a kind of heteropoly salt with strong selectivity and ion exchange capacity for 137Cs. But the small particle size and poor hydromechanical property of AMP, makes it difficult to separate in the later stage. In view
Externí odkaz:
https://doaj.org/article/348ec0b00ebf4286868f61b5a97f4d2c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper adopts the questionnaire survey method and fsQCA analysis method to carry out the empirical analysis about the path of talent cultivation of industry-teaching integration in higher vocational education. Through structural equation modeling
Externí odkaz:
https://doaj.org/article/74a63bb13b2b4f88b9b3aa2fc18039cf
Publikováno v:
Yuanzineng kexue jishu, Vol 57, Iss 3, Pp 646-654 (2023)
Due to the impact of the high-energy photons on the vision sensor, the images captured from the γ radiation environment are often polluted by the speckle noise with random location, disordered shapes, and uncertain color distribution. The uncertaint
Externí odkaz:
https://doaj.org/article/8ba7c098d63d40b8b87db3bb1995fba8
Publikováno v:
ITM Web of Conferences, Vol 60, p 00008 (2024)
Correspondence learning is pivotal to many computer vision-based tasks. Existing methods regard each correspondence equally along the channel dimension, which weakens the feature representation capability of the network. To alleviate this problem, we
Externí odkaz:
https://doaj.org/article/88bb9f521ca346f5ba006bdd30a91423
Autor:
Wang, Xiaoye, Zhang, Nicole Xi, He, Hongyu, Nguyen, Trang, Yu, Kun-Hsing, Deng, Hao, Brandt, Cynthia, Bitterman, Danielle S., Pan, Ling, Cheng, Ching-Yu, Zou, James, Liu, Dianbo
Recent advancements in artificial intelligence (AI), particularly in deep learning and large language models (LLMs), have accelerated their integration into medicine. However, these developments have also raised public concerns about the safe applica
Externí odkaz:
http://arxiv.org/abs/2409.18968
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 12, Pp 1179-1184 (2021)
Objective To explore the clinical value of artificial intelligence (AI) in the diagnosis of intracranial aneurysms by head and neck CT angiography (CTA). Methods A total of 117 patients with clinically suspected intracranial aneurysms admitted in our
Externí odkaz:
https://doaj.org/article/2c45fc8b615d4521be6cc1e44ffcbae8
China accounts for one-third of the world's total carbon emissions. How to reach the peak of carbon emissions by 2030 and achieve carbon neutrality by 2060 to ensure the effective realization of the "dual-carbon" target is an important policy orienta
Externí odkaz:
http://arxiv.org/abs/2409.00039
Autor:
Deng, Hanbin, Yang, Tianyu, Liu, Guowei, Liu, Lu, Zhao, Lingxiao, Wang, Wu, Li, Tiantian, Song, Wei, Neupert, Titus, Liu, Xiang-Rui, Shao, Jifeng, Zhao, Y. Y., Xu, Nan, Deng, Hao, Huang, Li, Zhao, Yue, Zhang, Liyuan, Mei, Jia-Wei, Wu, Liusuo, He, Jiaqing, Liu, Qihang, Liu, Chang, Yin, Jia-Xin
Publikováno v:
Phys. Rev. Lett. 133, 046503 (2024)
The kagome spin ice can host frustrated magnetic excitations by flipping its local spin. Under an inelastic tunneling condition, the tip in a scanning tunneling microscope can flip the local spin, and we apply this technique to kagome metal HoAgGe wi
Externí odkaz:
http://arxiv.org/abs/2408.02892
Autor:
Zhu, Guanghao, Liu, Lin, Hu, Yuhao, Sun, Haixin, Liu, Fang, Du, Xiaohui, Hao, Ruqian, Liu, Juanxiu, Liu, Yong, Deng, Hao, Zhang, Jing
Micro-expressions are subtle facial movements that occur spontaneously when people try to conceal real emotions. Micro-expression recognition is crucial in many fields, including criminal analysis and psychotherapy. However, micro-expression recognit
Externí odkaz:
http://arxiv.org/abs/2406.17538
Autor:
Zhang, Chonghuan, Lin, Qianghua, Zhu, Biwei, Yang, Haopeng, Lian, Xiao, Deng, Hao, Zheng, Jiajun, Liao, Kuangbiao
The field of natural language processing (NLP) has witnessed a transformative shift with the emergence of large language models (LLMs), revolutionizing various language tasks and applications, and the integration of LLM into specialized domains enhan
Externí odkaz:
http://arxiv.org/abs/2406.04593