Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Changqin Quan"'
Publikováno v:
Biomimetics, Vol 9, Iss 2, p 84 (2024)
Inverse optimal control is a method for recovering the cost function used in an optimal control problem in expert demonstrations. Most studies on inverse optimal control have focused on building the unknown cost function through the linear combinatio
Externí odkaz:
https://doaj.org/article/9aec243770ff4f6d8197705b74c4e665
Publikováno v:
IEEE Access, Vol 9, Pp 10239-10252 (2021)
Detection of voice changes in Parkinson's Disease (PD) patients would make it possible for early detection and intervention before the onset of disabling physical symptoms. This study explores static and dynamic speech features relating to PD detecti
Externí odkaz:
https://doaj.org/article/577e1c010bbd46de80dfe79c49874760
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 10 (2022)
In this study, we investigated dynamic control strategies for over-constrained cable-driven robots. In order to control a cable-driven robot, it is essential to address issues that arise from the restriction of cable tension, as well as to the redund
Externí odkaz:
https://doaj.org/article/78f13bfdf25943aaa4708303cc0e1bf4
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-12 (2018)
Abstract Hand segmentation is one of the most fundamental and crucial steps for egocentric human-computer interaction. The special egocentric view brings new challenges to hand segmentation tasks, such as the unpredictable environmental conditions. T
Externí odkaz:
https://doaj.org/article/53b8ca8513d7499084a97f24ce1c8f5d
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4361 (2021)
This paper studies a novel recurrent neural network (RNN) with hyperbolic secant (sech) in the gate for a specific medical application task of Parkinson’s disease (PD) detection. In detail, it focuses on the fact that patients with PD have motor sp
Externí odkaz:
https://doaj.org/article/338d7e8285b1455aa76728c457cefa89
Publikováno v:
Applied Sciences, Vol 10, Iss 8, p 2690 (2020)
The exponentially increasing size of biomedical literature and the limited ability of manual curators to discover protein–protein interactions (PPIs) in text has led to delays in keeping PPI databases updated with the current findings. The state-of
Externí odkaz:
https://doaj.org/article/c6eeff98461b4bed860c7e191737d7c0
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
Affective computing is not only the direction of reform in artificial intelligence but also exemplification of the advanced intelligent machines. Emotion is the biggest difference between human and machine. If the machine behaves with emotion, then t
Externí odkaz:
https://doaj.org/article/480f1927402449e5966aec246e3c728f
Publikováno v:
International Journal of Networked and Distributed Computing (IJNDC), Vol 5, Iss 1 (2016)
Nowadays, with the rapid development of B2C e-commerce and the popularity of online shopping, the Web storages huge number of product reviews comment by customers. A large number of reviews made it difficult for manufacturers or potential customers t
Externí odkaz:
https://doaj.org/article/2d9ec7cb37b54b538c2a564e2db785af
Publikováno v:
Applied Sciences, Vol 9, Iss 12, p 2551 (2019)
Learning latent representations of observed data that can favour both discriminative and generative tasks remains a challenging task in artificial-intelligence (AI) research. Previous attempts that ranged from the convex binding of discriminative and
Externí odkaz:
https://doaj.org/article/591a07a59e294b0f894bc4771e2351b8
Publikováno v:
Applied Sciences, Vol 8, Iss 2, p 300 (2018)
Featured Application: The proposed Uncertainty Flow framework may benefit the facial analysis with its promised elevation in discriminability in multi-label affective classification tasks. Moreover, this framework also allows the efficient model trai
Externí odkaz:
https://doaj.org/article/adacf0b41552460da2c21977a3280de9