Fake vs Real Music Detector is a web-based tool that classifies audio files as either real (human-composed) or fake (AI-generated). It uses pretrained MERT-v1-330M embeddings combined with a CNN model ...

Traditional SLAM relies on handcrafted feature extraction algorithms, which perform poorly in scenarios with significant lighting changes or sparse textures. To address these challenges, this paper ...

To address this problem, we propose PneuX-Net, an ensemble-based feature extraction framework that integrates multiple machine learning (ML) models Random Forest (RF), Gaussian Naïve Bayes (GNB) and K ...

ACE-Step bridges this gap by integrating diffusion-based generation with Sana’s Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer. It further leverages MERT and m-hubert to ...