Cybersecurity has always been a race between attackers and defenders, but traditional defense mechanisms struggle to keep up ...

Comprehensive repository of Data Science projects spanning Machine Learning, Deep Learning, and Natural Language Processing. Demonstrates practical applications of algorithms and tools on real-world ...

We overcome the challenge of small sample size in our prospective cohort by applying deep transfer learning using EHR data from a much larger cohort of traditional ICU patients. Our experiments ...

A study published in December by Duke professor Rohit Singh and his team proposes a new computational model called antibody ...

To ensure the safety and reliability of batteries, the prediction of the batteries’ State of Health (SOH) is one of the key technologies. This paper proposes a transfer learning-based lithium-ion ...

and deep learning models are trained by federated learning among the servers. In this paper, we first reveal that the training time depends on the transfer routes and the destinations of data and ...

When former Penn State quarterback Beau Pribula, now a Missouri Tiger, entered the transfer portal in December, he left a ...

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

Sign up for the EFC email bulletin for all the latest Everton news James Garner sent a message to manager David Moyes that ...