Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wei, Changsong"'
This paper presents a recurrent neural network approach to simulating mechanical ventilator pressure. The traditional mechanical ventilator has a control pressure that is monitored by a medical practitioner and can behave incorrectly if the proper pr
Externí odkaz:
http://arxiv.org/abs/2410.06552
Long-short range time series forecasting is essential for predicting future trends and patterns over extended periods. While deep learning models such as Transformers have made significant strides in advancing time series forecasting, they often enco
Externí odkaz:
http://arxiv.org/abs/2409.08530
The rapid development of the mobile Internet and the Internet of Things is leading to a diversification of user devices and the emergence of new mobile applications on a regular basis. Such applications include those that are computationally intensiv
Externí odkaz:
http://arxiv.org/abs/2408.05671
The behavior decision-making subsystem is a key component of the autonomous driving system, which reflects the decision-making ability of the vehicle and the driver, and is an important symbol of the high-level intelligence of the vehicle. However, t
Externí odkaz:
http://arxiv.org/abs/2408.03084
The stock market's ascent typically mirrors the flourishing state of the economy, whereas its decline is often an indicator of an economic downturn. Therefore, for a long time, significant correlation elements for predicting trends in financial stock
Externí odkaz:
http://arxiv.org/abs/2407.16150
Publikováno v:
Irish Interdisciplinary Journal of Science & Research (IIJSR), Volume 8, Issue 2 (2024) 171-185
Out-of-distribution (OOD) detection is crucial for deploying robust machine learning models, especially in areas where security is critical. However, traditional OOD detection methods often fail to capture complex data distributions from large scale
Externí odkaz:
http://arxiv.org/abs/2406.11105
Autor:
Usubamatov, Ryspek, Feng, Shou, Mei, Xiaojun, Zhong, Yihao, Liu, Yanan, Gao, Erdi, Wei, Changsong, Wang, Zhuoyue, Yan, Chao
Publikováno v:
Proceedings of SPIE; October 2024, Vol. 13401 Issue: 1 p134010E-134010E-6, 1206097p
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