Titlebook: Robotics and Rehabilitation Intelligence; First International Jianhua Qian,Honghai Liu,Dalin Zhou Conference proceedings 2020 Springer Nat

枯燥

Blurring Detection Based on Selective Features for Iris Recognitionage easily leads to mismatch in recognition. So, these blurred iris images should be excluded before recognition to improve the recognition performance. This paper presents a blurring detection method for iris image based on local feature. The proposed method firstly employs RST (Radial Symmetry Tra

Mumble

Online Fault Diagnosis of High-Voltage Vacuum Circuit Breaker Based on Deep Convolutional Long Shortanishing gradient in the dynamic modeling, a long short-term memory method is employed to process the features. The experiments on a high-voltage vacuum circuit breaker demonstrate that the proposed method is competitive with the widely used support vector machine.

濃縮

Ejaculate

crucial

A Novel Approach to Abnormal Gait Recognition Based on Generative Adversarial Networkse latent variables related to high-quality generated gait images. We input the latent variables and category labels into the trained AGR-GAN to obtain gait images of specific abnormal gait types with diverse postures and varying perspectives. Finally, we use the transfer-learning AGR-GAN discriminat

AMPLE

judicial

Epithelium

Analysis of Continuous Motion Angle for Lower Limb Exoskeleton Robot Based on sEMG Signalults with the actual movement angle state information, the correctness of the analysis results is verified, which provides a theoretical basis for the follow-up research of the lower extremity exoskeleton robot.

Generator

Object Texture Transform Based on Improved CycleGANe original algorithm, the convergence speed in the learning process of the algorithm in this paper is obviously improved, the oscillation amplitude of loss function is small, and the number of steps required for network convergence is reduced. In the process of testing, the algorithm stylizes 1163 i

殺菌劑