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

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

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 ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

Abstract: Synchronous data flow graphs (SDFGs ... for instance within design-space exploration activities. Analysis of SDFGs can be hard, since the worst-case complexity of analysis algorithms is ...

Forrester Research continues to run a uniquely conservative balance sheet. Check out the technical analysis of FORR stock and ...

The class's goal is to enable students to design and implement efficient algorithms ... Graphs: representation, traversals, and the most important problems. External memory model: sorting and ...

Unfortunately, previous attack path discovery algorithms are difficult for applying in reality because of the high computational complexity problem. To achieve effective attack path discovery, we ...