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Nowadays, automatic modulation classification (AMC) has become a key component of next-generation drone communication systems, which are crucial for improving communication efficiency in non-cooperative environments. The contradiction between the accuracy and efficiency of current methods hinders the practical...
We chose the 6th order degree of polynomial to get maximum correlation coefficient (R) of the plotted graphs. The MATLAB code for curve fitting comprises of "polyfit" and "polyval" functions. To measure the correlation coefficient (R), the "corrcoef" function was utilized. The representative ...
Nowadays, automatic modulation classification (AMC) has become a key component of next-generation drone communication systems, which are crucial for improving communication efficiency in non-cooperative environments. The contradiction between the accuracy and efficiency of current methods hinders the practical...
There also exist some graph convolutional network methods that combine CNN and graphs for HSI classification [36]. Moreover, researchers resorted to the feature fusion strategy for better HSI classifica- tion. Feature fusion can provide more discriminative features from HSI and improve the performance...
drones Article MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems Qinghe Zheng 1,* , Xinyu Tian 1, Zhiguo Yu 1, Yao Ding 2 , Abdussalam Elhanashi 3 , Sergio Saponara 3 and Kidiyo Kpalma 4 1 School of Intelligent ...
imagery-based brain–computer interface (MI-BCI) systems, such as: large individual differences in subjects and poor performance of the cross-subject classification model; a low signal-to-noise ratio of EEG signals and poor classification accuracy; and the poor online performance of the MI-BCI ...
During the initial training phase, the graphs exhibit fluctuations, which can be attributed to the utilization of the ReduceLROnPlateau callback. This callback dynamically adjusts the optimizer's learning rate during training based on the plateauing of the loss function. Following the 15th epoch ...
Keywords: Internet of Things; point cloud; deep learning; 3D classification; segmentation 1. Introduction Big data from different sensors are the basis for the Internet of Things (IoT) to play its own advantages. Point cloud is an important 3D data format that is widely used in 3D semantic ...