A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...
The method, called location-guided lesion representation learning (LLRL), overcomes the common challenge of background interference that often causes existing models to confuse healthy areas with ...
In a bid to resolve the Karnataka caste conundrum, Chief Minister Siddaramaiah has mandated yet another survey of backward classes, the fifth since 1975. But if competing interest groups can ...
Background ‘On the field and on the run’ assessments of head impact events in professional rugby have resulted in a high proportion of players subsequently diagnosed with confirmed concussion not ...
During the 20th century, Americans developed a love affair with pasta. On the big screen, spaghetti played memorable roles in classic films such as the Marx Brothers’ Night at the Opera (1935), Disney ...
Abstract: We propose an unsupervised machine learning approach for classifying cyberattacks on smart power grids, with a focus on multi-area AGC systems. Unlike prior work on attack design or ...
Abstract: The increasing reliance on online restaurant reviews for decision-making highlights the need for accurate and detailed sentiment analysis. However, most existing systems focus only on ...
This project implements CyCADA (Cycle-Consistent Adversarial Domain Adaptation) for unsupervised domain adaptation from MNIST to USPS datasets, achieving accuracy improvements from 82.0% (source-only) ...
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