Zobrazeno 1 - 10
of 692
pro vyhledávání: '"max pooling"'
Publikováno v:
IEEE Access, Vol 12, Pp 149710-149721 (2024)
A bearing fault diagnosis method based on recurrence plots and a fusion neural network is proposed to address the low recognition accuracy of noisy bearing vibration data. Compared to existing methods, this approach leverages the recurrence plot tech
Externí odkaz:
https://doaj.org/article/f54d3e3a75ac42e29c5e4c759d097de0
Autor:
Qingxiang Zeng
Publikováno v:
IEEE Access, Vol 12, Pp 81047-81056 (2024)
Aspect-based sentiment classification, as a more fine-grained sentiment analysis task, focuses on predicting the sentiment tendency expressed in a sentence based on specific aspects. However, current text sentiment analysis models face challenges whe
Externí odkaz:
https://doaj.org/article/9bc00ecb26fb41eb81fc3f2f31663979
Convolutional Neural Networks: A Comprehensive Evaluation and Benchmarking of Pooling Layer Variants
Autor:
Afia Zafar, Noushin Saba, Ali Arshad, Amerah Alabrah, Saman Riaz, Mohsin Suleman, Shahneer Zafar, Muhammad Nadeem
Publikováno v:
Symmetry, Vol 16, Iss 11, p 1516 (2024)
Convolutional Neural Networks (CNNs) are a class of deep neural networks that have proven highly effective in areas such as image and video recognition. CNNs typically include several types of layers, such as convolutional layers, activation layers,
Externí odkaz:
https://doaj.org/article/a275fb0199874242901de8318f7dec3d
Publikováno v:
Sensors, Vol 24, Iss 17, p 5638 (2024)
This research proposes constructing a network used for person re-identification called MGNACP (Multiple Granularity Network with Attention Mechanisms and Combination Poolings). Based on the MGN (Multiple Granularity Network) that combines global and
Externí odkaz:
https://doaj.org/article/2357f8b9232a43fd9a25de8a610842bd
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1963 (2024)
Educational institutions are increasingly focused on supporting students who may be facing academic challenges, aiming to enhance their educational outcomes through targeted interventions. Within this framework, leveraging advanced deep learning tech
Externí odkaz:
https://doaj.org/article/cf9b5a6016504a288f9522b4ac31cedd
Akademický článek
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Akademický článek
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Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 4756-4762 (2022)
Deep neural networks are the most used machine learning systems in the literature, for they are able to train huge amounts of data with a large number of parameters in a very effective way. However, one of the problems that such networks face is over
Externí odkaz:
https://doaj.org/article/f5aad430f27341b09f8175c16800ee6d
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4801 (2023)
Polarimetric synthetic aperture radar (PolSAR) image classification has been an important area of research due to its wide range of applications. Traditional machine learning methods were insufficient in achieving satisfactory results before the adve
Externí odkaz:
https://doaj.org/article/ec090b2e046e4876ba41f89e3182f0a9
Autor:
Robert B. Kent, Marios S. Pattichis
Publikováno v:
IEEE Access, Vol 10, Pp 79689-79702 (2022)
The authors’ recently published design system for the creation of single-stage N-sorter/N-filter sorting devices, which were implemented using a particular example hardware block, is here expanded and applied to a second hardware type, FPGA carry c
Externí odkaz:
https://doaj.org/article/2ecd49baf9284f12bfcc969d0c8de8e0