A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.
Abstract: This study introduces FocalCA, a Hybrid Convolutional-Attention Encoder model for detecting CyberAttacks using the UNSW-NB15 dataset. Despite the inherent imbalance in the binary ...
Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
Mental health is a leading cause of pregnancy-related deaths in Texas according to annual state reporting. That data is meant to track postpartum depression and treatment in the state, but it isn’t ...
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