Linyan Gu

The traditional drip coating approach for sensor fabrication encounters several drawbacks, notably uneven film deposition, material wastage and vulnerability of sensitive materials to detachment, which hinder the attainment of high-quality...

Despite the successful use of Gaussian-binary restricted Boltzmann machines (GB-RBMs) and Gaussian-binary deep belief networks (GB-DBNs), little is known about their theoretical approximation capabilities to represent distributions of continuous random...

Automated segmentation of three-dimensional medical images is of great importance for the detection and quantification of certain diseases such as stenosis in the coronary arteries. Many 2D and 3D deep...

Encapsulating enzyme within MOF (enzyme-MOF) gives rise to new opportunity to improve the fragility of enzyme, but practical application of enzyme-MOF composite is far from being realized. The development of...

Conditional restricted Boltzmann machines (CRBMs) are the conditional variant of restricted Boltzmann machines (RBMs), which are used to simulate conditional probability distributions. While promising for practical applications, there is a...

Restricted Boltzmann machines (RBMs) are used to build deep-belief networks that are widely thought to be one of the first effective deep learning neural networks. This paper studies the ability...

Due to the decline of motor ability and the impact of the diseases, abnormalities in gait is common in the elderly population, which will raise the risk of fall and...

To solve the problem that mostly gait analysis is independent from the treatment, this work proposes a system that integrates the functions of gait training and assessment for foot drop...