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A comprehensive review and meta-analysis of machine learning approaches for predicting coral reef bleaching events. We e...
This study presents novel deep learning architectures specifically designed for natural language processing tasks in low...
With the advent of quantum computing, existing cryptographic protocols face unprecedented threats. This paper proposes a...
Identification and validation of a panel of blood-based biomarkers enabling detection of Alzheimer's disease up to 10 ye...
We report successful application of CRISPR-Cas9 gene editing technology in treating beta-thalassemia and sickle cell dis...
We present a federated learning framework that enables collaborative machine learning across healthcare institutions wit...
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