Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Shuhang Chen"'
Autor:
Bin Cheng, Yang Gao, Zhi Zheng, Shuhang Chen, Zheng Liu, Ling Zhang, Qi Zhu, Hui Li, Lin Li, Changgan Zeng
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
Abstract The second-order nonlinear Hall effect (NLHE) in non-centrosymmetric materials has recently drawn intense interest, since its inherent rectification could enable various device applications such as energy harvesting and wireless charging. Ho
Externí odkaz:
https://doaj.org/article/a89209bfdd9a47c1bc0bb78701524042
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 271-281 (2024)
Neurons respond to external stimuli and form functional networks through pairwise interactions. A neural encoding model can describe a single neuron’s behavior, and brain-machine interfaces (BMIs) provide a platform to investigate how neurons adapt
Externí odkaz:
https://doaj.org/article/203e3d59554540d99439fa46fbed6f47
Autor:
Siyu Qian, Siqing Zhang, Mengchen Lu, Shuhang Chen, Liyao Liu, Siqi Liu, Fanglin Jiang, Jisheng Zhang
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
ObjectiveThis review aimed to analyze and compare the accuracy of eight screening tools for sarcopenia in older Chinese adults according to different diagnostic criteria.MethodsThis systematic review was conducted in accordance with the Preferred Rep
Externí odkaz:
https://doaj.org/article/f77c162db1594307b640487c3227b75a
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4125-4134 (2023)
Brain-Machine Interfaces (BMIs) assist paralyzed people to brain control (BC) the neuro-prosthesis continuously moving in space. During the BC process, the subject imagines the movement of the real limb and adapts the brain activity according to the
Externí odkaz:
https://doaj.org/article/a31a7d97753645f6b2118f836687e3a0
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2834-2844 (2022)
Reinforcement-learning (RL)-based brain-machine interfaces (BMIs) interpret dynamic neural activity into movement intention without patients’ real limb movements, which is promising for clinical applications. A movement task generally requires the
Externí odkaz:
https://doaj.org/article/b18162b52f044a58a0029a8ec7439097
Publikováno v:
IEEE Access, Vol 10, Pp 81836-81845 (2022)
Supervising the process of garbage collection and transportation is a very crucial task with significance implication to the reusing and the recycle of the garbage. Previous works mainly focus on the detection of certain kind of garbage instead of ov
Externí odkaz:
https://doaj.org/article/e41ee946c57048fca701316b56fb2cab
Publikováno v:
Buildings, Vol 13, Iss 2, p 507 (2023)
Point cloud data have become the primary spatial data source for the 3D reconstruction of building engineering, where 3D reconstructed building information models can improve construction efficiency. In such applications, detecting windows and doors
Externí odkaz:
https://doaj.org/article/9ba8229abc804578805033c7f8212293
Autor:
Kongling Liu, Mengjun Wang, Jianchang Li, Jingjing Huang, Xuhui Huang, Shuhang Chen, Baoquan Cheng
Publikováno v:
Complexity, Vol 2021 (2021)
The rapid urbanization in China has already put heavy pressures on imperfect infrastructure, especially for fundamental urban functions such as power and water supply, traffic, education, and healthcare. The emergence of smart cities can help cope wi
Externí odkaz:
https://doaj.org/article/59c5535c26ca45bfa7b4f79f740e9a29
Publikováno v:
Complexity, Vol 2020 (2020)
Due to the increasing number of people traveling by air, the passenger flow at the airport is increasing, and the problem of passenger drop-off and pickup has a huge impact on urban traffic. The difficulty of taking a taxi at the airport is still a h
Externí odkaz:
https://doaj.org/article/72438d1388c1449eae278f1ce0ef007b
Publikováno v:
Entropy, Vol 23, Iss 6, p 743 (2021)
Neural signal decoding is a critical technology in brain machine interface (BMI) to interpret movement intention from multi-neural activity collected from paralyzed patients. As a commonly-used decoding algorithm, the Kalman filter is often applied t
Externí odkaz:
https://doaj.org/article/f1d5508d9a9f484b85883a60b7cdead2