Abstract: Cyclic redundancy check-aided tail-biting convolutional code (CRC-TBCC) is considered as a competitive candidate for ultra-reliable and low-latency communications (URLLC) in short-length ...
A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
Abstract: Recently, convolutional sparse coding (CSC) has been successfully applied to seismic data denoising. CSC differs from traditional dictionary learning methods based on patching schemes in ...
code.py Main program that runs on your CircuitPython board. Copy this file to the root directory of the CircuitPython board. mnist_clf.mpy Module that contains the converted model. Copy this to the ...
Binary Convolutional Codes (BCC) are a type of error-correcting code used in digital communication systems to mitigate the effects of noise and interference during transmission. This repository ...
Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
1 Faculty of Information Systems and Computer Science, October 6 University, Giza, Egypt 2 Faculty of Computers and Artificial Intelligence, Information Technology Department, Matrouh University, ...
ABSTRACT: Wireless technology is now being used to bring significantly innovative products and services in the healthcare sector, enabling new medical sensors, and treatment methods. In this paper, a ...
ABSTRACT: This paper extends the work on cross-layer design which combines adaptive modulation and coding at the physical layer and hybrid automatic repeat request protocol at the data link layer. By ...
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