Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Weiyu Guo"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1965-1973 (2024)
The employment of surface electromyographic (sEMG) signals in the estimation of hand kinematics represents a promising non-invasive methodology for the advancement of human-machine interfaces. However, the limitations of existing subject-specific met
Externí odkaz:
https://doaj.org/article/756da30c1dd54acd969d9f9d2325e69c
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 87-96 (2023)
Estimation of hand kinematics from surface electromyographic (sEMG) signals provides a non-invasive human-machine interface. This approach is usually subject-specific, so that the training on one individual does not generalise to different subjects.
Externí odkaz:
https://doaj.org/article/3e0afd0d5d4f4d6aad43de028697998b
Publikováno v:
Cognitive Robotics, Vol 2, Iss , Pp 13-20 (2022)
Named entity recognition (NER) is a fundamental and important task in natural language processing. Existing methods attempt to utilize convolutional neural network (CNN) to solve NER task. However, a disadvantage of CNN is that it fails to obtain the
Externí odkaz:
https://doaj.org/article/5b9b4210284d4a528cb8c861f596a975
Autor:
Weiyu Guo
Publikováno v:
IEEE Access, Vol 9, Pp 39926-39938 (2021)
Deep nonnegative matrix factorization (Deep NMF) as an emerging technique for image clustering has attracted more and more attention. This is because it can effectively reduce high-dimensional data and reveal the latent hierarchical information of th
Externí odkaz:
https://doaj.org/article/fd425e7fe2c240afa1362d71106d236f
Publikováno v:
Symmetry, Vol 14, Iss 12, p 2524 (2022)
Recurrent neural networks (RNNs) are widely used to process sequence-related tasks such as natural language processing. Edge cloud computing systems are in an asymmetric structure, where task managers allocate tasks to the asymmetric edge and cloud c
Externí odkaz:
https://doaj.org/article/41eda06dd355471bb2fdf8f8edd7089f
sEMG-Based Continuous Estimation of Finger Kinematics via Large-Scale Temporal Convolutional Network
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4678 (2021)
Since continuous motion control can provide a more natural, fast and accurate man–machine interface than that of discrete motion control, it has been widely used in human–robot cooperation (HRC). Among various biological signals, the surface elec
Externí odkaz:
https://doaj.org/article/f0979589062c4ea38ad3e6ece731dd3f
Publikováno v:
The International Journal of Banking and Finance, Vol 1, Iss 1 (2003)
Both academics and practitioners have a substantial interest in understanding interest in understanding patterns in implied volatility that are recoverable from commodity futures option. Such knowledge enhances their ability to accurately forecast vo
Externí odkaz:
https://doaj.org/article/90480c1664a8421793d550a62926832c
Publikováno v:
IEEE Transactions on Human-Machine Systems. :1-8
Publikováno v:
Neurocomputing. 489:167-178