Zobrazeno 1 - 10
of 1 183
pro vyhledávání: '"Zhang Hongyang"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper proposes state space modeling and Kalman filtering as the theoretical foundation to explore the impact of China’s monetary policy on the offshore RMB market and capital flows. In the state space model, the relationship between observable
Externí odkaz:
https://doaj.org/article/3fd333df42f0491b808064f15f1fbf29
Publikováno v:
中西医结合护理, Vol 9, Iss 2, Pp 32-36 (2023)
Objective To investigate the effects of post-traumatic stress disorder and social support on post-traumatic growth in parents of children with craniocerebral tumors. Methods From January 2021 to October 2021, the fathers or mothers of children with c
Externí odkaz:
https://doaj.org/article/add1ae4a1b544ff49e2c1bcd8f4c0d95
Publikováno v:
中西医结合护理, Vol 9, Iss 2, Pp 71-75 (2023)
Objective To explore the effect of sandplay therapy on separation anxiety and other psychological disorders of children aged 3-12 years old who were not accompanied by family members under the normalization of epidemic prevention and control. Methods
Externí odkaz:
https://doaj.org/article/e3e84fbf6ca642159742a924d249db09
Publikováno v:
Cailiao Baohu, Vol 55, Iss 11, Pp 142-148 (2022)
As a new severe plastic deformation processing technology, friction stir processing (FSP) has a very broad application prospect in microstructure modification of materials, preparation of fine - grained superplastic materials and improvement of compr
Externí odkaz:
https://doaj.org/article/8ad7dd71ffe04e91af12345306e60f4c
Publikováno v:
Science and Engineering of Composite Materials, Vol 28, Iss 1, Pp 426-436 (2021)
Geological conditions play a decisive role in the stability of arch dam engineering, and the asymmetric geological conditions of the abutment have a very negative impact on the safety of the arch dam. This article takes Lizhou arch dam as the researc
Externí odkaz:
https://doaj.org/article/c0989a6b08be446a85a45ec924e6b1e2
Multitask learning is a widely used paradigm for training models on diverse tasks, with applications ranging from graph neural networks to language model fine-tuning. Since tasks may interfere with each other, a key notion for modeling their relation
Externí odkaz:
http://arxiv.org/abs/2409.06091
Data augmentation is widely used for training a neural network given little labeled data. A common practice of augmentation training is applying a composition of multiple transformations sequentially to the data. Existing augmentation methods such as
Externí odkaz:
http://arxiv.org/abs/2408.14381
Wireless communications are significantly impacted by the propagation environment, particularly in doubly selective channels with variations in both time and frequency domains. Orthogonal Time Frequency Space (OTFS) modulation has emerged as a promis
Externí odkaz:
http://arxiv.org/abs/2407.21514
Autor:
Zhang, Hongyang, Zhao, Yue, Angione, Claudio, Yang, Harry, Buban, James, Farhan, Ahmad, Johnston, Fielding, Colangelo, Patrick
The need for data security and model integrity has been accentuated by the rapid adoption of AI and ML in data-driven domains including healthcare, finance, and security. Large models are crucial for tasks like diagnosing diseases and forecasting fin
Externí odkaz:
http://arxiv.org/abs/2407.19401
Generalizable vehicle re-identification (ReID) aims to enable the well-trained model in diverse source domains to broadly adapt to unknown target domains without additional fine-tuning or retraining. However, it still faces the challenges of domain s
Externí odkaz:
http://arxiv.org/abs/2407.07351