Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection Abstract: Effective detection and classification of forest ...

In this article, a novel block-oriented recurrent neural network (RNN) model is proposed for behavioral modeling and digital predistortion (DPD) of radio frequency (RF) power amplifiers (PAs). This ...

To address these challenges, we propose a Noise-Consistent hypeRgraph AutoEncoder framework with denoising strategies, termed NCRAE, aimed at achieving robust node embeddings in ceRNA regulatory ...