New cybersecurity breakthrough uses AI and image analysis to stop zero-day attacks in cloud environments Zero-day threats represent one of the most dangerous classes of cyberattacks, leveraging ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.. If you have the appropriate software ...

This repository contains the code and documentation for my bachelor thesis on adversarial attacks on medical image segmentation in federated learning. More information can be found in the file ...

Accurate segmentation of ore images plays a significant role in automatic geometric parameter detecting and composition analyzing of ore dressing progress. Semantic segmentation based on deep learning ...

Keywords: neural decoder, image reconstitution, brain-inspired ANNs, loss functions, autoencoder Citation: Li W, Zheng S, Liao Y, Hong R, He C, Chen W, Deng C and Li X (2023) The brain-inspired ...

Image representation learning with encoder-decoder networks plays a fundamental role in multimedia processing. Recent findings show that traditional encoder-decoders can be negatively affected by ...

Our model adopts the encoder-decoder model. The encoder model improved the KBGAT model with a gate mechanism to control the attention mechanism and use entity embeddings to update relation embeddings.

The experimental results prove that the quality of the watermarked image is excellent and there is strong resistant against many geometrical attacks. Related Articles: Articles Kizito Nkurikiyeyezu, ...