One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
Artificial intelligence (AI) is unlocking both opportunities and challenges for education, with teachers on the front line of ...
Abstract: In recent years, deep-learning-based computed tomography (CT) image segmentation methods show state-of-the-art performance. However, applying deep learning in CT image analysis is ...
2025-01-08: LayerMix paper is released on ArXiv . We also include PyTorch implementations of LayerMix on both CIFAR-10/100 and ImageNet in cifar.py and imagenet.py respectively, which both support ...
ABSTRACT: This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for ...
The SeisAug toolkit addresses a significant challenge in seismological studies: the limited availability of region- and depth-specific labeled data. This scarcity poses a preliminary drawback when ...
Abstract: Synthetic aperture radar (SAR) systems can be designed with different polarimetric modalities. Most spaceborne SAR systems acquire dual-polarimetric data to meet various operational ...
Our modern healthcare system is currently facing huge challenges exacerbated by the pandemic, a rise in lifestyle-related diseases, and an exploding world population. The good news is that using AI to ...
Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic oscillations of neural activity, which is one of the core technologies of brain-computer interface systems (BCIs) ...
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