Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shuang Wang"'
Publikováno v:
IEEE Access, Vol 9, Pp 9845-9854 (2021)
To solve the problems of the difficult feature extraction, poor feature credibility and low recognition accuracy of coal and gangue, this paper utilizes the difference in the dielectric properties of coal and gangue and in combination with a support
Publikováno v:
IEEE Access, Vol 8, Pp 164268-164281 (2020)
Land surface temperature (LST) is an important indicator for assessing the surface urban heat island (SUHI) effect. This paper presents a novel approach to derive LST estimates by integrating machine learning algorithm and spatiotemporal fusion model
Publikováno v:
IEEE Access, Vol 8, Pp 18601-18614 (2020)
Molecular property prediction is important to drug design. With the development of artificial intelligence, deep learning methods are effective for extracting molecular features. In this paper, we propose a multichannel substructure-graph gated recur
Publikováno v:
IEEE Access, Vol 8, Pp 96946-96954 (2020)
Breast cancer is one of the most dangerous diseases and the second largest cause of female cancer death. Breast cancer starts when malignant, cancerous lumps start to grow from the breast cells. Self-tests and Periodic clinical checks help to early d
Autor:
Zhongyuan Xu, Zhenshi Sun, Junfeng Jiang, Kun Liu, Pengfei Ma, Tiegen Liu, Lingfeng Weng, Shuang Wang
Publikováno v:
IEEE Access, Vol 7, Pp 105609-105616 (2019)
In this paper, a high efficiency multiple events recognition scheme based on a hybrid feature extraction algorithm and a combined classifier for distributed optical fiber vibration sensing (DOFVS) system has been proposed and demonstrated. The hybrid
Publikováno v:
IEEE Access, Vol 7, Pp 134318-134329 (2019)
The detection of dislocation defects in polysilicon wafers helps to improve the power generation efficiency and service life of solar cells. However, dislocation defect detection is challenging due to similarity of morphology and intensity between th
Publikováno v:
IEEE Access, Vol 6, Pp 2206-2219 (2018)
This paper presents an effective yet simple video representation for RGB-D-based action recognition. It proposes to represent a depth map sequence into three pairs of structured dynamic images (DIs) at body, part, and joint levels, respectively, thro
Publikováno v:
IEEE Access, Vol 9, Pp 97855-97877 (2021)
This article investigated the timbre of musical sound and visual color; comprehensively used experimental psychology, audio information processing and other experimental methods and technical means; and conducted research on the relationship between
Publikováno v:
IEEE Access. 8:214494-214494
In the above article [1] , Figure 4 was erroneously copied from the published article [2] . The original figure was meant to be used as a reference to create a new image using our algorithm. The original Figure 4 is similar to that in [1] . The corre