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 ...

With features like AutoML, drag-and-drop design tools, and MLOps integration, the platform strikes a balance between ease of use and enterprise-grade sophistication. [Click on image for larger view.] ...

Abstract: Facial image colorization is a challenging task in computer vision, aimed at generating realistic and accurate colored versions of grayscale facial images. This study introduces a novel ...