Zobrazeno 1 - 10
of 1 321
pro vyhledávání: '"Wang Qingyu"'
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 09, Pp 1028-1033 (2024)
Food intake disorders are costly to treat, with an increasing prevalence over the years, and a higher risk of mortality compared to other psychiatric disorders. Avoidant/restrictive food intake disorder (ARFID) , as a relatively new type of food inta
Externí odkaz:
https://doaj.org/article/3312334c0aac44fe87dd806e4fc84a8a
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 9, Pp 1430-1433 (2023)
Objective To summarize the nursing experience of osteopathic robot-assisted vascularized fibular transplantation in the treatment of patients with avascular necrosis of femoral head (ANFH). Methods From September 2016 to November 2020, there were 17
Externí odkaz:
https://doaj.org/article/546841b8f004475c8682e0f8fc2d4214
Publikováno v:
矿业科学学报, Vol 7, Iss 2, Pp 247-256 (2022)
The strains that can only degrade phenol or quinoline are limited in practical application. It is more practical to select the tolerant strains which can degrade the compound pollutants. A phenol-quinoline degrading strain KD1 was isolated from activ
Externí odkaz:
https://doaj.org/article/feffd1a68b06462e9d1f12b08e101649
The success of Deep Reinforcement Learning (DRL) is largely attributed to utilizing Artificial Neural Networks (ANNs) as function approximators. Recent advances in neuroscience have unveiled that the human brain achieves efficient reward-based learni
Externí odkaz:
http://arxiv.org/abs/2403.20163
Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial Transformer, whereby the Spiking Self-Attention (SSA) is used to achieve both higher accuracy and lower computational
Externí odkaz:
http://arxiv.org/abs/2403.18228
Autor:
Zhang, Quanjun, Zhai, Juan, Fang, Chunrong, Liu, Jiawei, Sun, Weisong, Hu, Haichuan, Wang, Qingyu
Machine translation systems have been widely adopted in our daily life, making life easier and more convenient. Unfortunately, erroneous translations may result in severe consequences, such as financial losses. This requires to improve the accuracy a
Externí odkaz:
http://arxiv.org/abs/2401.00751
Publikováno v:
Journal of Accounting & Organizational Change, 2024, Vol. 20, Issue 5, pp. 797-820.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JAOC-02-2023-0044
By integrating the self-attention capability and the biological properties of Spiking Neural Networks (SNNs), Spikformer applies the flourishing Transformer architecture to SNNs design. It introduces a Spiking Self-Attention (SSA) module to mix spars
Externí odkaz:
http://arxiv.org/abs/2308.02557
The spiking neural network (SNN) using leaky-integrated-and-fire (LIF) neurons has been commonly used in automatic speech recognition (ASR) tasks. However, the LIF neuron is still relatively simple compared to that in the biological brain. Further re
Externí odkaz:
http://arxiv.org/abs/2302.01194
Learning from the interaction is the primary way biological agents know about the environment and themselves. Modern deep reinforcement learning (DRL) explores a computational approach to learning from interaction and has significantly progressed in
Externí odkaz:
http://arxiv.org/abs/2301.10292