Zobrazeno 1 - 10
of 174
pro vyhledávání: '"multi-scale convolutional neural network"'
Autor:
Kandasamy, Venkatachalam a, Simic, Vladimir b, c, d, ⁎, Bacanin, Nebojsa e, f, g, h, Pamucar, Dragan i, j, k
Publikováno v:
In Neural Networks January 2025 181
Publikováno v:
PeerJ Computer Science, Vol 10, p e2336 (2024)
The current art image classification methods have low recall and accuracy rate issues . To improve the classification performance of art images, a new adaptive classification method is designed employing multi-scale convolutional neural networks (CNN
Externí odkaz:
https://doaj.org/article/9203a08938f14a049c7743085c412d86
Autor:
Fatema A. Albalooshi
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10287 (2024)
Vegetation segmentation plays a crucial role in accurately monitoring and analyzing vegetation cover, growth patterns, and changes over time, which in turn contributes to environmental studies, land management, and assessing the impact of climate cha
Externí odkaz:
https://doaj.org/article/7590ae0306d34694a938fa6b08dcaab3
Publikováno v:
Machines, Vol 12, Iss 11, p 792 (2024)
Efficient bearing fault diagnosis not only extends the operational lifespan of rolling bearings but also reduces unnecessary maintenance and resource waste. However, current deep learning-based methods face significant challenges, particularly due to
Externí odkaz:
https://doaj.org/article/5648793a1ca548eab0215477bd106ef6
Publikováno v:
Machines, Vol 12, Iss 6, p 383 (2024)
Rolling bearings are prone to failure due to the complexity and serious operational environment of rotating equipment. Intelligent fault diagnosis based on convolutional neural networks (CNNs) has become an effective tool to ensure the reliable opera
Externí odkaz:
https://doaj.org/article/5a989932075b4681ae4995407c0590f3
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 3, Pp 45-52 (2023)
Underground personnel behavior recognition is an important measure to ensure safe production in coal mines. The existing research on behavior recognition of underground personnel lacks research and analysis on the perception mechanism, and the featur
Externí odkaz:
https://doaj.org/article/585fb8b4fb2a426bb59272fde2371012
Publikováno v:
Jixie qiangdu, Pp 569-575 (2023)
Aiming at the low accuracy with unbalanced data sets in existing bearing fault diagnosis methods, we proposed a bearing fault diagnosis method based on importance weighted auto-encoder（IWAE） in unbalanced data sets. It was trained by minority sam
Externí odkaz:
https://doaj.org/article/2edddc9d36f5423bb91b34aefe462ad6
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1086 (2024)
Remote sensing data are becoming increasingly important for quantifying long-term changes in land surfaces. Optical sensors onboard satellite platforms face a tradeoff between temporal and spatial resolutions. Spatiotemporal fusion models can produce
Externí odkaz:
https://doaj.org/article/9094d97e095f46918d82fa351a0f6304
Publikováno v:
Sensors, Vol 24, Iss 3, p 959 (2024)
Under the conditions of a mechanical fault in a motor, mechanical vibration of a specific frequency can be generated. The electrical contact points directly connected to the motor can vibrate at the same frequency. The electrical contact points with
Externí odkaz:
https://doaj.org/article/32e3fc9534db4290b479f67a9c676c59
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