To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource information: one is MAEDDI, which can predict DDIs, and the other is MAEDDIE, which can ...

In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture [5]. We compare two different setups of the ...

To address the aforementioned limitations, this article proposes a multisource data fusion classification method based on a cross-modal cascaded encoder-decoder network (CCEnd-Net). The proposed ...