Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
Built on an integrated end-to-end architecture of Construct-Align-Reason (CAR), LOM enables AI, for the first time, to autonomously construct structured business logic system from raw enterprise data ...
Accuracy and Computational Cost of Machine Learning Models for Electromagnetic Object Classification
Abstract: Classification of randomly oriented objects from electromagnetic data is important in applications such as remote sensing and security screening, where robustness to simulation/measurement ...
Abstract: Sleep stage classification, essential for diagnosing sleep disorders, monitoring neurological health, and advancing cognitive neuroscience. Traditionally involves manual scoring of ...
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