Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fang Chen"'
Publikováno v:
IEEE Access, Vol 12, Pp 42343-42356 (2024)
The development of modern science and technology has had a significant impact on the traditional teaching methods of higher education institutions. The utilization of technology-mediated learning approaches has provided universities and other higher
Externí odkaz:
https://doaj.org/article/5fd98f01e5d949658bdc114b52b56898
Autor:
Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, Hasan Saeed Mir, Fang Chen, Jianlong Zhou, U. Rajendra Acharya
Publikováno v:
IEEE Access, Vol 11, Pp 143016-143036 (2023)
Lung cancer is the leading cause of cancer death, and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer diagnosis. Computer vision algorithms have previously been proposed
Externí odkaz:
https://doaj.org/article/0acf11642907488bbb7be5d4c7219acb
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2349-2358 (2023)
Brain computer interface (BCI) is a system that directly uses brain neural activities to communicate with the outside world. Recently, the decoding of the human upper limb based on electroencephalogram (EEG) signals has become an important research b
Externí odkaz:
https://doaj.org/article/a7f56704f7184876b5c8275d7aca8744
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 533-554 (2022)
Segmentation of marine oil spills in synthetic aperture radar (SAR) images is a challenging task because of the complexity and irregularities in SAR images. In this work, we aim to develop an effective segmentation method which addresses marine oil s
Externí odkaz:
https://doaj.org/article/6e37955c6fab48baaa11a8761678c44c
Publikováno v:
IEEE Access, Vol 10, Pp 6042-6052 (2022)
The holograms in Star Wars have inspired many researchers to capture the whole human body in real-time and present it as an avatar into Virtual Reality (VR). Facial capture is important to achieve this because facial expressions are essential for soc
Externí odkaz:
https://doaj.org/article/14e9c296140c4b74bc0879633219bdef
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1494-1501 (2022)
Accurate large-scale building detection is significant in monitoring urban development, map updating, change detection, and digital city establishment. However, due to the complicated details of background objects in high spatial resolution remotely
Externí odkaz:
https://doaj.org/article/7ea85cce37394dfdb9b57190acec10b0
Publikováno v:
IEEE Access, Vol 9, Pp 32351-32367 (2021)
In the application of regression prediction through big data technology, the error between the predicted value and the true value is often large. In order to reduce the error of data prediction, this paper proposes an Intelligent Data Prediction (IDP
Externí odkaz:
https://doaj.org/article/50e23e407a774cbc99af77faf6a341d4
Publikováno v:
IEEE Access, Vol 9, Pp 55352-55363 (2021)
In this paper, a fractional-order sliding mode control method based on a double recurrent perturbation fuzzy neural network (DRPFNN) is proposed for a micro gyroscope system with parameter uncertainty and external disturbance. The DRPFNN is used to r
Externí odkaz:
https://doaj.org/article/870e0f14fb7c403bb9fd93de50d08628
Autor:
Michael Serhan, David Jackemeyer, Mindy Long, Mark Sprowls, Ismael Diez Perez, Wolfgang Maret, Fang Chen, Nongjian Tao, Erica Forzani
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-9 (2020)
Background: Abnormally low or high blood iron levels are common health conditions worldwide and can seriously affect an individual’s overall well-being. A low-cost point-of-care technology that measures blood iron markers with a goal of both preven
Externí odkaz:
https://doaj.org/article/265ba3bb8dfe4995a173f3e89bb91107
Autor:
Juntao Fei, Fang Chen
Publikováno v:
IEEE Access, Vol 8, Pp 125097-125108 (2020)
In this paper, a dynamic fractional order sliding mode control method based on a double feedback fuzzy neural network controller is proposed to deal with the unknown parameters and upper bound of uncertainty. Firstly, the switching function of the dy
Externí odkaz:
https://doaj.org/article/10e6b123b5bb41b7b145ddef79f29382