An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...
Abstract: Jamming signal power detection (JPD) is a crucial step in wireless jamming cognition technology. By detecting the power values of multiple jamming signals, prior information can be provided ...
Abstract: Predicting the accurate future price of the agricultural crops is important to avoid overproduction or shortages in the food supply chain. To obtain accurate predictions, the process usually ...
In this tutorial, we explore a novel deep learning approach that combines multi-head latent attention with fine-grained expert segmentation. By harnessing the power of latent attention, the model ...
This project implements a Convolutional Autoencoder (CAE) using TensorFlow and Keras to perform image upscaling. The goal is to take low-resolution (28x28) images of cats and dogs as input and train ...
ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...