Build a 16 channel servo tester using Arduino and 3D printing, with a simple setup and updated channel control for smoother ...

Encoders are a vital component in many applications that require motion control and feedback information. Whether a system’s requirement is speed, direction, or distance, an encoder produces control ...

Split-flap displays are a great, low-power way to display text to a wide audience. Compared to other display technologies ...

A rugged, self-contained, resolver-based encoder, the Shaft-Tracker from Computer Conversions Corp. can replace less reliable optical shaft encoders. The device provides both incremental and true ...

In this episode, Hackaday editors Elliot Williams and Tom Nardi start off by taking a trip down the Raspberry Pi memory lane and then tackle a fresh pile of listener mail. The discussion moves on ...

Each year, thousands of innocent lives are shattered by terrorist violence driven by violent extremism. Whether based on religious, ethnic or political grounds, extremist ideologies glorify the ...

Armed with a MSc and PhD in molecular biology and an unwavering obsession with baking, Brianna turns up the heat on our small appliance testing and roots out Best Buy groceries for us all to enjoy.

Abstract: Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the ...

Abstract: Anomaly detection is an important task for medical image analysis, which can alleviate the reliance of supervised methods on large labelled datasets. Most existing methods use a pixel-wise ...

We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...