Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Pi Network (PI), FloppyPepe (FPPE), and CoinCodex, a machine learning algorithm, are grabbing headlines as data-driven forecasts breathe new life into the crypto market. According to CoinCodex ...

Abstract: To avoid the congestion in flow control, this paper proposes an optical network flow control algorithm based on benefit optimization and dynamic path coefficient (BO-DPC). This algorithm ...

The rapidly growing capabilities and increasing presence of AI-based systems in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies around ...

Furthermore, we propose a weighted average metric, which is better suited to determine the performance of forecasting algorithms under adverse conditions ... and generalizable model for predicting ...

This repository implements an automated student grouping system using Python and Flask, designed as a practical project for the Design and Analysis of Algorithms (DAA). The system streamlines the ...

PPI-network similarity clustering across SLCs enables identification ... Finally, this SLC interactome combined with machine learning algorithms is suitable for predicting the structure of interacting ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...