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 ...
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).
"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 ...
Your browser does not support the audio element. Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications ...
In daily life and communication, people usually recognize the emotions of people around them through facial expressions, voice dialogues, body language and other external behavioral signals, so as to ...
The intersection of machine learning, biosensing technologies, and neurological behavior analysis presents fertile ground for groundbreaking research and innovation. This research topic aims to bridge ...
A deep learning-based web application for detecting Pneumonia from Chest X-Ray images using Convolutional Neural Networks (CNNs) and Transfer Learning models. The project provides an interactive ...
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