Sentence examples for delay prediction from inspiring English sources

We present a Bayesian network- BN) based trainetwork- BNdiction model to tackle the complexity and dependency nature of train operations.

In the new method, observations prior to an earthquake are utilized to establish a precise ionospheric delay prediction model, so that precise co-seismic displacements can be obtained without any convergence process.

The duration of data gap bridged by this technique could be possibly extended if a more precise atmospheric delay prediction is found or on-the-fly (OTF) technology is applied.

The purpose of this paper is to build a data-driven Train Delay Prediction System (TDPS) for large-scale railway networks which exploits the most recent big data technologies, learning algorithms, and statistical tools.

Current train delay prediction systems do not take advantage of state-of-the-art tools and techniques for handling and extracting useful and actionable information from the large amount of historical train movements data collected by the railway information systems.

In order to improve the performance of the existing skeletal model of iso-octane oxidation in various reactors, the new skeletal model focuses on the improvement in predicting laminar flame speed and important species evolution while maintaining the accurate ignition delay prediction of the original mechanism.

Results indicate that none of the mechanisms are in complete agreement, however they are in good agreement with the experimental burn rate, peak pressure and ignition delay predictions.

These skeletal mechanisms were generated based on autoignition simulations, and validation using ignition delay predictions showed good agreement with the detailed mechanism in the target range of conditions.

It's worth noting that flight delay predictions from Google aren't new.

The authors made an important observation that an admission control algorithm that employs delay predictions as a threshold for call admission achieves, in theory, better channel utilization than those based on throughput parameter [24].

The results show that the success rate of the prediction including delayed prediction is about 65%.