Unidimensional ACGAN applied to link establishment behaviors recognition of a short-wave radio station

Z Wu, H Chen, Y Lei - Sensors, 2020 - mdpi.com
It is difficult to obtain many labeled Link Establishment (LE) behavior signals sent by non-
cooperative short-wave radio stations. We propose a novel unidimensional Auxiliary …

A Joint Denoising Learning Model for Weight Update Space–Time Diversity Method

Y Zhang, D Zhang, Z Han, P Jiang - Remote Sensing, 2022 - mdpi.com
Space–time diversity (STD) has been widely applied in underwater acoustic (UWA)
communication due to its exceptional anti-multipath performance. However, underwater …

Designing the color of electric motorcycle products emotionally based on the dynamic field theory and deep learning

M Ding, H Qin, X Zhang, L Ma - Displays, 2024 - Elsevier
Abstract Current research in Product Color Emotional Design (PCED) often encounters
limitations due to the ambiguity in users' emotional information expression, potentially …

Facial Emotion Recognition Prediction Technique: A Review

O Khajuria, R Kumar, M Gupta - 2023 2nd International …, 2023 - ieeexplore.ieee.org
In human communication, facial expressions can provide a wealth of information about the
feelings of others. The most frequent method of communication between people is through …

Fexgan-meta: Facial expression generation with meta humans

JR Siddiqui - arXiv preprint arXiv:2203.05975, 2022 - arxiv.org
The subtleness of human facial expressions and a large degree of variation in the level of
intensity to which a human expresses them is what makes it challenging to robustly classify …

Emotion-driven action interaction design in small quadruped robots: leveraging NXEIK multilevel network

T Shen, M Zhang, T Wu - Journal of Engineering Design, 2024 - Taylor & Francis
This study introduces a facial expression-driven interaction method for small quadruped
robots, featuring three layers: Perception (L1), Analysis (L2), and Expression (L3). L1 …

Similarity indicator and CG-CGAN prediction model for remaining useful life of rolling bearings

L Yang, D Binbin, Y Cancan, L Shuhang… - Measurement …, 2024 - iopscience.iop.org
To tackle the challenges of performing early fault warning and improving the prediction
accuracy for the remaining useful life (RUL) of rolling bearings, this paper proposes a …

Enhancing recognition performance of vortex arrays through conditional generative adversarial network-based data augmentation

Z Zhang, J Si, D Gao, S Jia, W Wang… - Optical …, 2024 - spiedigitallibrary.org
Orbital angular momentum (OAM) holds significant potential for achieving extremely high
communication capacity, attributed to its orthogonality and infinite modes. Employing …

[PDF][PDF] Edge detection based on generative adversarial networks

X Chen, J Chen, Z Sha - Journal of New Media, 2020 - cdn.techscience.cn
Aiming at the problem that the detection effect of traditional edge detection algorithm is not
good, and the problem that the existing edge detection algorithm based on convolution …

Deep Residual Expression Recognition Network to Enhance Inter-class Discrimination.

H Hao, GE Hongwei - … of Frontiers of Computer Science & …, 2022 - search.ebscohost.com
Deep facial expression recognition is a challenging task for neural networks to apply in
pattern recognition. Compared with face recognition tasks such as identity authentication …