Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xiaoliang Lei"'
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 8, Pp 2961-2969 (2024)
Image classification tasks often compress the neural network model to reduce the number of parameters, which leads to a decrease in classification accuracy. herefore, we propose a novel ResNet50-based attention mechanism for image classification. Res
Externí odkaz:
https://doaj.org/article/77a51823cec341c5b490368b27b86078
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Image classification indicates that it classifies the images into a certain category according to the information in the image. Therefore, extracting image feature information is an important research content in image classification. Traditional imag
Externí odkaz:
https://doaj.org/article/3532f3e551f048ae9ba7073e283b70d6
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
With the development of computer vision, high quality images with rich information have great research potential in both daily life and scientific research. However, due to different lighting conditions, surrounding noise and other reasons, the image
Externí odkaz:
https://doaj.org/article/055d164b7ef84616a9440cc82c142c26
Publikováno v:
Computers, Materials & Continua; 2023, Vol. 76 Issue 3, p3797-3811, 15p
Publikováno v:
Computer Science and Information Systems. 19:1463-1480
At present, the traditional machine learning methods and convolutional neural network (CNN) methods are mostly used in image recognition. The feature extraction process in traditional machine learning for image recognition is mostly executed by manua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f25eb2d0e28cc4db65710aab2b44397
https://doi.org/10.2298/csis220120036z
https://doi.org/10.2298/csis220120036z
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Modeling how network-level traffic flow changes in the urban environment is useful for decision-making in transportation, public safety and urban planning. The traffic flow system can be viewed as a dynamic process that transits between states (e.g.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::833b90c470114bb8b67527fb429568a9
https://doi.org/10.1145/3534678.3539236
https://doi.org/10.1145/3534678.3539236
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Frontiers in Neurorobotics
Frontiers in Neurorobotics
With the development of computer vision, high quality images with rich information have great research potential in both daily life and scientific research. However, due to different lighting conditions, surrounding noise and other reasons, the image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4226f4eb5e70c9365f1e89b28fdd1f85
Publikováno v:
Journal of Information Technology Research. 12:18-35
In this article, a human action recognition technique based on complexity classification is proposed. Considering the features of human actions such as continuity, individuality, variety randomness, the demands for recognition of different types of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a2d5326633411debd01a1ce9fbda591
https://doi.org/10.4018/jitr.2019010102
https://doi.org/10.4018/jitr.2019010102
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
In this paper, a novel region-based active contour model is presented which can selectively implement the local or global segmentation. A novel force field which uses the mean information inside and outside the contour is proposed to control the curv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d5b33a801c6fe5697ed9d711c7484b
https://doi.org/10.1109/ccdc49329.2020.9164591
https://doi.org/10.1109/ccdc49329.2020.9164591
Publikováno v:
Journal of Healthcare Engineering
Journal of Healthcare Engineering, Vol 2019 (2019)
Journal of Healthcare Engineering, Vol 2019 (2019)
Accurate optic disc (OD) detection is an essential yet vital step for retinal disease diagnosis. In the paper, an approach for segmenting OD boundary without manpower named full-automatic double boundary extraction is designed. There are two main adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad64a000d6480eca156f65280c872b07
http://europepmc.org/articles/PMC6437741
http://europepmc.org/articles/PMC6437741