Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Chaowei, Tang"'
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8693 (2023)
An energy storage system works in sync with a photovoltaic system to effectively alleviate the intermittency in the photovoltaic output. Owing to its high power density and long life, supercapacitors make the battery–supercapacitor hybrid energy st
Externí odkaz:
https://doaj.org/article/934768ef410a4ea2a9328f23d773874f
Publikováno v:
Energies, Vol 16, Iss 14, p 5549 (2023)
The integration of PV and energy storage systems (ESS) into buildings is a recent trend. By optimizing the component sizes and operation modes of PV-ESS systems, the system can better mitigate the intermittent nature of PV output. Although various me
Externí odkaz:
https://doaj.org/article/341bc0dbb8f24ac9bd13f9a812ae1acf
Publikováno v:
Agriculture, Vol 12, Iss 9, p 1360 (2022)
Cassava is a typical staple food in the tropics, and cassava leaf disease can cause massive yield reductions in cassava, resulting in substantial economic losses and a lack of staple foods. However, the existing convolutional neural network (CNN) for
Externí odkaz:
https://doaj.org/article/6ac484b21a2541ffadb85383b2fde119
Publikováno v:
IEEE Access, Vol 6, Pp 5865-5878 (2018)
As people have become more and more connected, there are certain scenarios where items need to be recommended to groups of users rather than individual user, which motivate studies on group recommender systems (GRSs). However, developing GRSs is not
Externí odkaz:
https://doaj.org/article/0a3d81598c7b457f962645616f4a2783
Autor:
Chaowei Tang, Xinxin Feng, Haotian Wen, Xu Zhou, Yanqing Shao, Xiaoli Zhou, Baojin Huang, Yunzhen Li
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10508 (2021)
Surface defect detection of an automobile wheel hub is important to the automobile industry because these defects directly affect the safety and appearance of automobiles. At present, surface defect detection networks based on convolutional neural ne
Externí odkaz:
https://doaj.org/article/21793a93a16947cbab79ae8476842677
Publikováno v:
IEEE Access, Vol 5, Pp 15529-15541 (2017)
Crowdsourcing activities, carrying out large-scale tasks via wisdoms of crowds, are widely used in practice. However, it is hard for users to find tasks that are suitable for them. Thus, many users participate in tasks, and they are not good at or no
Externí odkaz:
https://doaj.org/article/411117d397484a9f89099c289cf8cdd0
Publikováno v:
In Optik - International Journal for Light and Electron Optics December 2016 127(23):11599-11606
Autor:
Shuai Ruan, Chaowei Tang, Xu Zhou, Zhuoyi Jin, Shiyu Chen, Haotian Wen, Hongbin Liu, Dong Tang
Publikováno v:
Applied Sciences, Vol 10, Iss 13, p 4669 (2020)
At present, deep learning drives the rapid development of face recognition. However, in the unconstrained scenario, the change of facial posture has a great impact on face recognition. Moreover, the current model still has some shortcomings in accura
Externí odkaz:
https://doaj.org/article/682a07730c7a43fcb4eee70e0b96428c
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4177 (2020)
Face detection is an important basic technique for face-related applications, such as face analysis, recognition, and reconstruction. Images in unconstrained scenes may contain many small-scale faces. The features that the detector can extract from s
Externí odkaz:
https://doaj.org/article/e130f1594066427487512150af1a749f
Publikováno v:
Interdisciplinary sciences, computational life sciences.
Brain cancer is the deadliest cancer that occurs in the brain and central nervous system, and rapid and precise grading is essential to reduce patient suffering and improve survival. Traditional convolutional neural network (CNN)-based computer-aided
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1b619e6fc71a4a08864c92369c7c642
https://pubmed.ncbi.nlm.nih.gov/35810266
https://pubmed.ncbi.nlm.nih.gov/35810266