Abstract: A stochastic demand dynamic traffic model is presented to predict some traffic variables, such as link travel times, link flows, or link densities, and their time evolution in real networks.

Abstract: Uncertainty analyses have been considered critical analysis methods for identifying the risks in reliability evaluations. However, with multi-phase, multi-state, and repairable features, ...

Web infrastructure giant Cloudflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that ...

The rapid evolution of autonomous systems is reshaping urban mobility and accelerating the development of intelligent transportation networks. A key challenge in real-world deployment is the ability ...

The relationship between skin diseases and mental illnesses has been extensively studied using cross-sectional epidemiological data. Typically, such data can only measure association (rather than ...

PDF files are frequently exploited by threat actors to deliver payloads. Static analysis in a sandbox makes it possible to expose any threat a malicious PDF contains by extracting its structure. The ...

Implementation of BANSAC, a new guided sampling process for RANSAC. Previous methods either assume no prior information about the inlier/outlier classification of data points or use some previously ...

A large variety of detection algorithms have been reported that broadly fall into two categories. In the first category, the algorithms typically employ a time window and reduce the detection problem ...