Learn how discounted cash flows and comparables methods differ in equity valuation. Explore their benefits and drawbacks for ...

Discover how the Modified Dietz Method measures investment returns, factoring in cash flow timing and excluding skewing ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

Google's Universal Commerce Protocol isn't just an API, it's infrastructure for AI-native shopping. Learn why major retailers ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

Abstract: Automatic modulation identification (AMI) is crucial in non-cooperative high frequency (HF) communication systems, especially for spectrum monitoring and management. However, the dynamics ...