IEEE

Real-Time Radar Hand Motion Recognition Using a Hybrid CNN–SVM Framework With FPGA Acceleration

Abstract: Radar-based hand gesture recognition (HGR) systems often suffer from challenges related to sensor interference, environmental clutter, and limited dataset size, which complicate the training ...
IEEE

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

Abstract: Advances in Deep Learning (DL) have provided alternative approaches to various complex problems, including the domain of spatial image steganalysis using Convolutional Neural Networks (CNN).
GitHub

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features". M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler ...
AZoQuantum

The Role of Supercomputers in Analysing Modern Mars Datasets

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...
GitHub

Medical Image Segmentation CNN

This project implements a custom 10-layer Convolutional Neural Network (CNN) for medical image segmentation using Python and deep learning techniques. The goal of the system is to automate the ...
Hacker

Building a Facial Recognition Pipeline with Deep Learning in Tensorflow

Your browser does not support the audio element. Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications ...