Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
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.
Abstract: The increasing integration of solar photovoltaic (PV) systems into modern energy grids presents significant challenges due to the intermittent and weather-dependent nature of solar energy ...
A Dual Autoencoder Approach Using Trainable Encoding Circuits for Optimizing Quantum Neural Networks
Abstract: This research presents a Dual Quantum-Traditional Auto encoder network designed for near-term quantum processors. This Dual AE consists of a variational Auto encoder and decoder network ...
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