News
It’s common for videographers to debate the pros and cons of different codecs, as if these are video formats. They’re not – ...
Each AI generation emerges from a shifting triad: algorithmic innovation, computational resources, and the volume and ...
Many computational methods have been proposed to predict drug–drug interactions (DDIs), which can occur when combining drugs to treat various diseases, but most mainly utilize single-source features ...
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results