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

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Combining information entropy theory and a variable ordering heuristic intuitionistic fuzzy time series forecasting model, we present a traffic anomaly detection algorithm ... time series graph of the ...

A huge chunk of a glacier in the Swiss Alps broke off on Wednesday (May 28), causing a deluge of ice, mud and rock that buried most of a mountain village that had been evacuated due to the risk of a ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

In this paper, a detailed performance evaluation of synchronous and asynchronous operations in terms graph matching is provided. A synchronous and an asynchronous design of the Hoepman's algorithm, ...

Explore how Neo4j’s serverless, zero-ETL graph analytics lets teams find deep insights from connected data, without infrastructure or code overhead.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...