Prasen Reddy Yakkanti's research highlights how AI-driven infrastructure scaling can revolutionize cloud resource management, ...

Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...

This paper proposes CAE-AD, a novel convolutional autoencoder anomaly detection method that relies only on normal operation data for training the intelligent classi-fier. The method also accommodates ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

The National Heart Center Singapore (NHCS) announces a major advancement in cardiac care research with the implementation of ...

One person referred to Kohli's recent Instagram story and wrote, "Algorithm mistakenly showed that Anushka didn't hold Virat's hand. There was absolutely no intent behind it." Another user ...

Now it’s 13%, or more than 1 in 8. But thanks partly to early detection, breast cancer deaths are declining. Screening “saves a lot of lives,” says Ethan Cohen, MD, a radiologist who is an ...

instead of whatever the algorithm happens to be pushing. After triple-checking to make sure they’re still available, he watches each, then writes his recommendation. Below we’ve collected ...

Automated trading software allows users to define trading strategies using algorithms or rules which the system then executes automatically. These platforms can analyze market data, place trades ...