𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Performance assessment of a postnatal growth-based ROP predictive model

✍ Scribed by Gil Binenbaum; Gui-shuang Ying; Graham E. Quinn; Jiayan Huang; Jules Antigua; Soraya Abbasi


Book ID
116591294
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
47 KB
Volume
16
Category
Article
ISSN
1528-3933

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Enhanced Performance Assessment of Subsp
✍ Qiang Zhang; Shaoyuan Li πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 535 KB

## Abstract This study focuses on performance assessment of model predictive control. An MPC‐achievable benchmark for the unconstrained case is proposed based on closed‐loop subspace identification. Two performance measures can be constructed to evaluate the potential benefit to update the new iden

Performance Prediction Analysis of a Poi
✍ P Tissainayagam; D Suter πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 380 KB

This paper provides performance prediction analysis techniques for a linear point feature tracking algorithm based on different motion models. We provide closedform expressions for evaluating the probability of correct data association of a tracker (analyzed with different motion models), when track