Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Xueshan Gao"'
Publikováno v:
Transactions of FAMENA. 2024, Vol. 48 Issue 1, p1-25. 25p.
Autor:
Xueshan Gao, Pengfei Zhang, Xuefeng Peng, Jianbo Zhao, Kaiyuan Liu, Mingda Miao, Peng Zhao, Dingji Luo, Yige Li
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Introduction: The lower limb exoskeleton rehabilitation robot should perform gait planning based on the patient’s motor intention and training status and provide multimodal and robust control schemes in the control strategy to enhance patient parti
Externí odkaz:
https://doaj.org/article/c45e36416e0f4c579d22090da7e3a178
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 35, Iss 1, Pp 1-13 (2022)
Abstract Selecting the optimal speed for dynamic obstacle avoidance in complex man–machine environments is a challenging problem for mobile robots inspecting hazardous gases. Consideration of personal space is important, especially in a relatively
Externí odkaz:
https://doaj.org/article/2c59491c9f8b42a6b7a4285f7d31c5da
Publikováno v:
Engineering Reports, Vol 5, Iss 5, Pp n/a-n/a (2023)
Abstract The recent rapid development of the computer‐aided design technologies has provided concrete support for the education and research in the field of railway transportation. Virtual reality (VR) technology is becoming particularly important
Externí odkaz:
https://doaj.org/article/9162eea0329b40c4adfe8c9d14a554ea
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12452 (2023)
With the continuous expansion of road networks and the rise in railway transportation capacity, the scale of locomotive crew needs has increased sharply. However, the current training of locomotive crews is inefficient and costly and cannot meet the
Externí odkaz:
https://doaj.org/article/6dee108934914089be8f8b80104f2876
Publikováno v:
Sensors, Vol 23, Iss 18, p 7937 (2023)
In the context of predicting pedestrian trajectories for indoor mobile robots, it is crucial to accurately measure the distance between indoor pedestrians and robots. This study aims to address this requirement by extracting pedestrians as regions of
Externí odkaz:
https://doaj.org/article/1307d29310c948e1827fcd848ec2e0d8
Publikováno v:
Sensors, Vol 23, Iss 16, p 7283 (2023)
In recent years, deep learning-based speech synthesis has attracted a lot of attention from the machine learning and speech communities. In this paper, we propose Mixture-TTS, a non-autoregressive speech synthesis model based on mixture alignment mec
Externí odkaz:
https://doaj.org/article/0e0bf250c36a4c8abfe834140d1f3dbd
Publikováno v:
IEEE Access, Vol 9, Pp 15592-15602 (2021)
Tracking control is an essential capability for nonholonomic wheeled mobile robots (NWMR) to achieve autonomous navigation. This paper presents a novel hybrid control strategy combined mode-based control and actor-critic based deep reinforcement lear
Externí odkaz:
https://doaj.org/article/a1c50df64b1c44d2b95734e7dd3c1b17
Publikováno v:
Sensors, Vol 23, Iss 2, p 671 (2023)
Lung cancer is the leading cause of cancer deaths worldwide. Although several lung cancer diagnostic methods are available for lung nodule biopsy, there are limitations in terms of accuracy, safety, and invasiveness. Transbronchial needle aspiration
Externí odkaz:
https://doaj.org/article/9909c8726f6c4a64ba8a19c9f7b7742a
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 33, Iss 1, Pp 1-10 (2020)
Abstract Converting customer needs into specific forms and providing consumers with services are crucial in product design. Currently, conversion is no longer difficult due to the development of modern technology, and various measures can be applied
Externí odkaz:
https://doaj.org/article/cbe0f508433f48ff892d36fd5a9eaa03