IEEE

Chipless RFID Tag Detection Based on Continuous Wavelet Transform and Convolutional Neural Networks

Abstract: In this work, we propose a novel approach for the detection of chipless radio frequency identification (RFID) signals. The method is based on the application of transformations to the ...

Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
GitHub

Highly optimized Pseudo-Polar Fourier Transform in Python.

This repository provides a Python implementation of the Pseudo-Polar Fourier Transform (PPFT) in both 2D (PPFT2D) and 3D (PPFT3D), based on the methods presented in the following papers: ...
Microsoft

Microsoft propels retail forward with agentic AI capabilities that power intelligent automation for every retail function

REDMOND, Wash. — Jan. 8, 2026 — Microsoft Corp. on Thursday announced agentic AI solutions designed to bring intelligent automation to every part of the retail business. These new capabilities help ...
IEEE

A New Hybrid Wavelet Transform-Deep Learning for Smart Resilient Inverters in Microgrids Against Cyberattacks

Abstract: Smart inverters are vital to the functioning and stability of contemporary microgrids (MG). Nevertheless, their growing dependence on digital communication and control exposes them to ...