[PDF][PDF] Research on Fault Diagnosis based on Improved Generative Adversarial Network under Small Samples
L Dongping, Y Yingchun, S Shikai, H Jun… - … International Journal of …, 2023 - iaeng.org
Fault diagnosis based on deep learning has become a research hotspot. However, the
classification accuracy may be low if the amount of training data is insufficient. To solve this …
classification accuracy may be low if the amount of training data is insufficient. To solve this …
[PDF][PDF] Application of Improved Convolutional Neural Network in Text Classification.
L Ronghui, W Xinhong - IAENG International Journal of Computer …, 2022 - iaeng.org
Text classification is a basic problem in the field of natural language processing. The model
based on deep learning is a common model to deal with this problem. However, there are …
based on deep learning is a common model to deal with this problem. However, there are …
Surface Water Quality Assessment on a Wetland in Peru Using Grey Systems.
A Delgado, T Villanes, L Palacios… - Engineering …, 2022 - search.ebscohost.com
Coastal wetlands play a fundamental role, as they give diverse ecosystem services to
humanity. However, due to anthropic activities that take place in the coastal region, large …
humanity. However, due to anthropic activities that take place in the coastal region, large …
A new discrete filled function algorithm for inventory optimization
J Li, M Yang, Q Wang - 2023 38th Youth Academic Annual …, 2023 - ieeexplore.ieee.org
The discrete filled function is an effective way to solve large-scale optimization problems,
which has been widely used in various applications. In this paper, a new kind of discrete …
which has been widely used in various applications. In this paper, a new kind of discrete …