资讯

The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...
The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the (IBS), ...
In view of the characteristics of non-stationarity, time-variability and individual diversity of EEG signals, a novel framework based on graph neural network is proposed for MI-EEG classification.
The CNN Accelerator IP is paired with the Lattice Neural Network Complier Tool. The compiler takes the networks developed in Caffe or TensorFlow, analyzes for resource usage, simulates for performance ...
To address these problems, this paper proposes a multisampling convolutional neural network (MSCNN) to extract RF fingerprint from the selected ROI for classifying ZigBee devices. A signal-to-noise ...