Deep neural networks (DNNs) have recently delivered impressive results across various tasks, yet understanding how they make decisions remains challenging. Feature importance has appeared as a key ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...

Understanding human biology requires more than mapping our genes—we must also understand how gene expression is regulated to ...

PlexusAV expands its AV-over-IP portfolio at InfoComm 2025 with new encoders, wall plates, and a gateway that brings HDBaseT ...

In recent years, the semantic segmentation of multimodal remote-sensing images using convolutional methods has received significant attention. Owing to the localized nature of convolutional operations ...

Siko (booth 1045) is present its Neo series at this week's iVT Expo in Cologne. This new generation of reliable and compact ...