Devdiscourse

QR codes emerge as unlikely ally in the fight against card fraud

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
IEEE

Tail-Biting Convolutional Codes for URLLC: Low-Complexity List Decoding and Rate-Compatible Construction

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 ...
Scientific Research Publishing

Convolutional Homeomorphic Error-Correcting Codes Utilizing Nano Controlled-Selector Architectural Effectuation ()

1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
GitHub

Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks

Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks The main contributors of this repository include Xiao Li, Yue Dong, Pieter Peers and Xin Tong.
GitHub

Tree species classification from from airborne LiDAR and hyperspectral data using 3D convolutional neural networks

This is a code repository for our paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks During the last two decades, forest monitoring and ...
Scientific Research Publishing

R. Sujan, et al., “Adaptive ‘Soft’ Sliding Block Decoding of Convolutional Code Using the Artificial Neural Net-Work,” Transactions on Emerging Telecommunications ...

ABSTRACT: In this paper we present an efficient algorithm to decode linear block codes on binary channels. The main idea consists in using a vote procedure in order to elaborate artificial ...