Abstract: Satellite image classification is a key task in remote sensing, where deep learning models are increasingly applied for their accuracy and automation capabilities. This study conducts a ...
Background: With optical coherence tomography (OCT), doctors are able to see cross-sections of the retinal layers and diagnose retinal diseases. Computer-aided diagnosis algorithms such as ...
Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...
Universal Music Group and Sony Music plan to use what they call “groundbreaking neural fingerprinting technologies” to detect copyright infringement in AI-generated music. Continue to article... The ...
We release Qwen3-Omni, the natively end-to-end multilingual omni-modal foundation models. It is designed to process diverse inputs including text, images, audio, and video, while delivering real-time ...
U.S. tech giants are facing a reckoning from the East. Even as Nvidia pledged today to invest a staggering $100 billion into its own customer OpenAI's data centers — a move that raised eyebrows across ...
Trained a deep learning-based system using high-resolution Sentinel-2 imagery and CNNs to classify land into water, vegetation, urban and barren areas with 92.4% validation accuracy.
Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
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