[HTML][HTML] Improved apple fruit target recognition method based on YOLOv7 model
H Yang, Y Liu, S Wang, H Qu, N Li, J Wu, Y Yan… - Agriculture, 2023 - mdpi.com
This study proposes an improved algorithm based on the You Only Look Once v7 (YOLOv7)
to address the low accuracy of apple fruit target recognition caused by high fruit density …
to address the low accuracy of apple fruit target recognition caused by high fruit density …
On-chip Acceleration of RF Signal Modulation Classification with Short-Time Fourier Transform and Convolutional Neural Network
K Jung, J Woo, S Mukhopadhyay - IEEE Access, 2023 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is a technique used in wireless communication
systems to identify the modulation type of received signals at the receiver. Improving …
systems to identify the modulation type of received signals at the receiver. Improving …
[HTML][HTML] Signal automatic modulation based on AMC neural network fusion
H Yin, J Diao - Plos one, 2024 - journals.plos.org
With the rapid development of modern communication technology, it has become a core
problem in the field of communication to find new ways to effectively modulate signals and to …
problem in the field of communication to find new ways to effectively modulate signals and to …
A graph-based semi-supervised approach for few-shot class-incremental modulation classification
Z Xiaoyu, Q Peihan, L Qi, D Yuanlei… - China …, 2024 - ieeexplore.ieee.org
With the successive application of deep learning (DL) in classification tasks, the DL-based
modulation classification method has become the preference for its state-of-the-art …
modulation classification method has become the preference for its state-of-the-art …
[HTML][HTML] CrossTLNet: A Multitask-Learning-Empowered Neural Network with Temporal Convolutional Network–Long Short-Term Memory for Automatic Modulation …
G Gao, X Hu, B Li, W Wang, FM Ghannouchi - Electronics, 2023 - mdpi.com
Amidst the evolving landscape of non-cooperative communication, automatic modulation
classification (AMC) stands as an essential pillar, enabling adaptive and reliable signal …
classification (AMC) stands as an essential pillar, enabling adaptive and reliable signal …
Deep learning-based satellite signal modulation identification and doppler shift impact study
H Li - International Conference on Signal Processing and …, 2024 - spiedigitallibrary.org
With the popularization of satellite communications and the rapid development of satellite
network construction, the importance of satellite communications in military security and …
network construction, the importance of satellite communications in military security and …