Taste The Code on MSN

Add Bluetooth to Arduino and ESP8266 easily using RYB2340 module

I’ve been testing out the RYB2340 Bluetooth module, and it’s honestly one of the simplest ways I’ve found to add wireless ...
Taste The Code on MSN

ESP32 motion detection setup with Arduino and ESPHome for Home Assistant

In this video, I'm exploring the use of Mini PIR Sensors with ESP32 with both Arduino-based projects as well as making a movement sensor for Home Assistant by using ESPHome. The sensor is quite ...
Business Wire

Verasonics Announces Vantage® NXT Platform Update Featuring Encoder Integration, Focused Ultrasound 2D/3D Software, New 8 MHz Matrix Array Transducer

The Vantage NXT system provides three encoder inputs that enable users to track position, movement, and rotation during data acquisition. Researchers can use encoder count data for Pulse-on-position ...
Hackaday

Arduino Code? On My 8051? It’s More Likely Than You Think

The 8051 was an 8-bit Harvard-architecture microcontroller first put out by Intel in 1980.  They’ve since discontinued that ...
GitHub

Issue for LTX-2.3 VAE

Hi, thanks for great work, i am trying to load LTX-2.3 VAE with the checkpoint: ltx-2.3-22b-dev.safetensors using encoder = load_video_vae_encoder(checkpoint, dtype=torch.float32), but got NaN after ...
IEEE

Ultra-High Quality ECG Compression for IoMT Application Using Temporal Convolutional Auto-Encoder with Improved RVQ

Abstract: Prolonged Electrocardiogram (ECG) monitoring through the Internet of Medical Things (IoMT) is vital for cardiac diagnosis yet generates prohibitive data volumes, posing significant ...
GitHub

Multi-focus Image Fusion Using Encoder-Decoder Network

This code is trained on TPU supported by TensorFlow Research Cloud (TFRC). Thanks for TFRC that gave me the opportunity to access TPU. By using TPU, I can train my model by setting a bigger mini-batch ...
IEEE

Interactive Vehicle Trajectory Prediction Based on Parameterized Transfer Learning Using Encoder–Decoder Network

Abstract: Vehicle trajectory prediction is important for automated vehicles to understand driving scenarios. This paper proposes an encoder-decoder network-based parameterized transfer learning ...