Frontiers

Deciphering metabolic disease mechanisms for natural medicine discovery via graph autoencoders

Metabolic diseases, such as diabetes, pose significant risks to human health due to their complex pathogenic mechanisms, complicating the use of combination drug therapies. Natural medicines, which ...
Frontiers

Integrating attention mechanism and boundary detection for building segmentation from remote sensing images

Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of ...
InAVate

Lumens debuts Crestron control module for OIP-N series encoders and decoders

Lumens has launched a Crestron control module for its latest series of mini encoders and decoders. The new Crestron control module enables integrators to use the Crestron environmental control system ...
IEEE

ESNet: Anti-Hierarchical Encoder–Decoder Network With Surrounding Expansion and Stripping for Hyperspectral Image Classification

Abstract: Spatial information is crucial in deep spectral–spatial hyperspectral image (HSI) classification methods. Spatial features can be divided into central features and surrounding features, ...
GitHub

Using EncoderDecoderModel with Adapters / No module named 'adapters.models.encoder_decoder'

I am trying to use adapters with an Encoder-Decoder model. The suggested approach to do this according to the docs would be: from transformers import EncoderDecoderModel import adapters model = ...
EDN

Higher resolution quadrature decoding for rotary encoders.

I wrote a bit of VHDL for generating inc/dec pulses from quadrature rotary encoders like the CTS Electrocomponents ones I bought from Digikey for a project I worked on recently. This debounce circuit ...