Abstract: Early faults, with their small amplitudes and slow variations, are easily masked by noise or process trends, making detection difficult. Also, observer-based methods struggle with timely and ...

Given a connected graph as input (adjacency list), with nodes as routers and edges as links - how do routers discover each other or decide the next hop when forwarding a packet? Each router starts up ...

Abstract: Information compression techniques are majorly employed to reduce communication cost over peer-to-peer links. In this article, we investigate distributed Nash equilibrium (NE) seeking ...

G4S is a graph-based engine paradigm for modern scientific computing. G4S uses a unified graph programming interface to implement matrix computation, without having to deal with the complexity of ...

Pair programming and continuous integration can go hand-in-hand. Pushing to main multiple times a day is hard in isolation, ...

Apollo GraphQL, the graph-based API orchestration leader, is expanding GraphQL as the essential orchestration layer for AI agents and modern applications, introducing enhanced AI tooling with Apollo ...

HashiCorp, an IBM company, is introducing a series of Infrastructure and Security Lifecycle innovations, and a preview of Project infragraph-a new strategic investment for the HashiCorp Cloud Platform ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...

Identifying the complex genetic architecture of Alzheimer’s disease (AD) is critical for understanding its pathophysiology. While network-based computational methods assist in this task, they ...