GEN - Genetic Engineering and Biotechnology News

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.
Frontiers

Detection of leptomeningeal angiomas in brain MRI of Sturge-Weber syndrome using multi-scale multi-scan Mamba

Objectives: Sturge-Weber syndrome (SWS) is a congenital neurological disorder occurring in the early childhood. Timely diagnosis of SWS is essential for proper medical intervention that prevents the ...
Commercial Integrator

Alfatron Launches 4K AVoIP Encoder & Decoder for Signal Distribution

Alfatron Electronics, the Raleigh, N.C.-based, manufacturer, has introduced the ALF-IPK1HE 4K Networked Encoder and ALF-IPK1HD 4K Networked Decoder, designed for distributing high-quality AV signals ...
Frontiers

Multi-scale and deeply supervised network for image splicing localization

1 Guangxi Key Lab of Brain-Inspired Computing and Intelligent Chips, School of Electronic and Information Engineering, Guangxi Normal University, Guilin, China 2 Key Laboratory of Nonlinear Circuits ...
IEEE

Deep Learning-Based Iterative Residual Encoder-Decoder Solution for Electromagnetic Modeling over a Broad Frequency Band

Abstract: In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a ...
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 ...