XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...
WASHINGTON, Dec 18 (Reuters) - U.S. consumer prices rose less than expected in the year to November, but households still faced affordability challenges as the costs of basic goods and services like ...
1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
1 School of Physics, Changchun University of Science and Technology, Changchun, China 2 Engineering Tech, R&D Center Changchun Guanghua College, Changchun, China This study overcomes the limitations ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...
Abstract: This study presents an AI-driven framework for predicting transmission frequency in cables using magnetic field data, offering a modern alternative to conventional analytical methods. A ...
Abstract: This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy, and tree growing ...
The paper mentions that you retain the VAE model trained for single-object generation. My understanding is that the VAE model for single-object generation was trained on data that is preprocessed by ...
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