Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Firdaous, Essaf"'
Publikováno v:
CAAI Transactions on Intelligence Technology; Apr2024, Vol. 9 Issue 2, p348-364, 17p
Publikováno v:
Machines, Vol 10, Iss 2, p 146 (2022)
Wafer map inspection is essential for semiconductor manufacturing quality control and analysis. The deep convolutional neural network (DCNN) is the most effective algorithm in wafer defect pattern analysis. Traditional DCNNs rely heavily on high qual
Externí odkaz:
https://doaj.org/article/298bf518d6e94ee7b7620ab0393edd74
Akademický článek
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Autor:
Pius Kwao Gadosey, Yujian Li, Enock Adjei Agyekum, Ting Zhang, Zhaoying Liu, Peter T. Yamak, Firdaous Essaf
Publikováno v:
Diagnostics, Vol 10, Iss 2, p 110 (2020)
During image segmentation tasks in computer vision, achieving high accuracy performance while requiring fewer computations and faster inference is a big challenge. This is especially important in medical imaging tasks but one metric is usually compro
Externí odkaz:
https://doaj.org/article/2bad436064e142649627f412bc06829c
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 37:8029-8052
Publikováno v:
CNIOT
The examination of the lungs is an important part of the annual physical examination. There are hundreds or thousands of cases in the physical examination, and each case contains many lung cross-sectional CT images. These all require professional doc
Publikováno v:
ICCAI
As a research area of computer vision and deep learning, scene understanding has attracted a lot of attention in recent years. One major challenge encountered is obtaining high levels of segmentation accuracy while dealing with the computational cost
Publikováno v:
ICCAI
In lung cancer computer-aided diagnosis (CAD), the correct segmentation of the lung parenchyma is particularly important. In order to reduce the detection area, save computational time and improve accuracy, lung tissue needs to be extracted in advanc
Autor:
Seybou Sakho, Firdaous Essaf, Tchewafei Abide, Khalid Badiss, Julius Kibet Kiprop, Jianbiao Zhang
Publikováno v:
2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC).
PBFT is a consensus algorithm based on Byzantine fault tolerance that is widely used in current systems like blockchains. However, this algorithm has some problems that slow down its use on a large scale. In the interest of solving its problems, we h
Autor:
Ting Zhang, Yujian Li, Zhaoying Liu, Peter T. Yamak, Enock Adjei Agyekum, Firdaous Essaf, Pius Kwao Gadosey
Publikováno v:
Diagnostics
Volume 10
Issue 2
Diagnostics, Vol 10, Iss 2, p 110 (2020)
Volume 10
Issue 2
Diagnostics, Vol 10, Iss 2, p 110 (2020)
During image segmentation tasks in computer vision, achieving high accuracy performance while requiring fewer computations and faster inference is a big challenge. This is especially important in medical imaging tasks but one metric is usually compro