When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct ...
Abstract: We present in this paper a novel method for fault detection and classification in power transmission lines based on convolutional sparse autoencoder. Contrary to conventional methods, the ...
Abstract: Feature learning technologies using convolutional neural networks (CNNs) have shown superior performance over traditional hand-crafted feature extraction algorithms. However, a large number ...
Dr. Yoginath is a Senior Research Staff member in the Computer Science and Mathematics Division at the Oak Ridge National Laboratory. He earned his Ph.D. in Computational Science and Engineering from ...
The mitochondrion, often referred to as the powerhouse of the cell, plays critical roles in cellular function, making it a prime organelle to target for fundamental studies, metabolic engineering, and ...
When touching the surface of an object, its spatial structure translates into a vibration on the skin. The perceptual system evolved to translate this pattern into a representation that allows to ...
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