Zobrazeno 1 - 10
of 7 922
pro vyhledávání: '"Hu Ping"'
Publikováno v:
Zhipu Xuebao, Vol 45, Iss 1, Pp 123-130 (2024)
The content of ethanol in wine can affect its quality. Some edible alcohol contains small amounts of methanol, and its accumulation can cause serious health problems. Therefore, it is very important to test the contents of methanol and ethanol in alc
Externí odkaz:
https://doaj.org/article/b51ed77087224d4d989b0b8594b72ef7
Autor:
LI Jing-ling, ZHANG Xiao-ping, HU Ping-hua, ZHENG Ming-yu, ZHANG Xing-lei, HU Li-yun, SU Rui, CHEN Huan-wen1
Publikováno v:
Zhipu Xuebao, Vol 45, Iss 1, Pp 174-182 (2024)
Microdroplets have many unique features such as small size and high electric field, therefore they can be accelerated to initiate chemical reactions and even promote some reactions that cannot be carried out in liquid phase. N, N-Dimethylaniline (DMA
Externí odkaz:
https://doaj.org/article/eaca5214f40243af967b3dc2bf7afc2c
Autor:
Hu Ping, Ma Jie, Kang Shujing, Li Sanfeng, Wu Xianmei, Zeng Longjun, Lu Caolin, He Rui, He Huiying, Shang Lianguang, Rao Yuchun, Zhu Xudong, Xiong Guosheng, Qian Qian, Guo Longbiao, Wang Yuexing
Publikováno v:
Rice Science, Vol 30, Iss 2, Pp 87-91 (2023)
Externí odkaz:
https://doaj.org/article/41483cf60c1c42dfad0895cb08761a39
Autor:
DENG A-qin, HU Ping-xia
Publikováno v:
Shipin yu jixie, Vol 38, Iss 7, Pp 133-137 (2022)
Objective: Improve the speed and accuracy of foreign matter identification in food. Methods: Based on the LeNet-5 network structure, the improved CNN model was obtained by adding batch normalization layer and dropout layer. Using this model, a recogn
Externí odkaz:
https://doaj.org/article/e091f868d1ff42219109b1685d3c2a85
Publikováno v:
中国工程科学, Vol 23, Iss 6, Pp 167-177 (2021)
Self-driving vehicle is a hot application of artificial intelligence, and the identification and measurement of its safety risks has become an urgent research topic in the field of artificial intelligence safety. In this study, we collect qualitative
Externí odkaz:
https://doaj.org/article/05ee912e9f8b4391867b59bf24f874fc
Autor:
Li Sanfeng, Shen Lan, Hu Ping, Wu Xianmei, Yuan Qiaoling, Rao Yuchun, Qian Qian, Wang Kejian, Zhu Xudong, Shang Lianguang, Wang Yuexing
Publikováno v:
Rice Science, Vol 27, Iss 3, Pp 180-183 (2020)
Externí odkaz:
https://doaj.org/article/69f01fec4d5a45b09b22feaf43d21eab
Previous graph neural networks (GNNs) usually assume that the graph data is with clean labels for representation learning, but it is not true in real applications. In this paper, we propose a new multi-teacher distillation method based on bi-level op
Externí odkaz:
http://arxiv.org/abs/2404.17875
Autor:
Tan, Reuben, Sun, Ximeng, Hu, Ping, Wang, Jui-hsien, Deilamsalehy, Hanieh, Plummer, Bryan A., Russell, Bryan, Saenko, Kate
Long video question answering is a challenging task that involves recognizing short-term activities and reasoning about their fine-grained relationships. State-of-the-art video Large Language Models (vLLMs) hold promise as a viable solution due to th
Externí odkaz:
http://arxiv.org/abs/2404.04346
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset. However, mitigating the performance degradation in large-scale models is non-trivial due to (i)
Externí odkaz:
http://arxiv.org/abs/2403.11549
Autor:
Chen, Leo, Boardley, Benjamin, Hu, Ping, Wang, Yiru, Pu, Yifan, Jin, Xin, Yao, Yongqiang, Gong, Ruihao, Li, Bo, Huang, Gao, Liu, Xianglong, Wan, Zifu, Chen, Xinwang, Liu, Ning, Zhang, Ziyi, Liu, Dongping, Shan, Ruijie, Che, Zhengping, Zhang, Fachao, Mou, Xiaofeng, Tang, Jian, Chuprov, Maxim, Malofeev, Ivan, Goncharenko, Alexander, Shcherbin, Andrey, Yanchenko, Arseny, Alyamkin, Sergey, Hu, Xiao, Thiruvathukal, George K., Lu, Yung Hsiang
This article describes the 2023 IEEE Low-Power Computer Vision Challenge (LPCVC). Since 2015, LPCVC has been an international competition devoted to tackling the challenge of computer vision (CV) on edge devices. Most CV researchers focus on improvin
Externí odkaz:
http://arxiv.org/abs/2403.07153