### 10 papers:

- CASE-2015-JinDAWBBBL #distributed #framework
- A comprehensive framework of factory-to-factory dynamic fleet-level prognostics and operation management for geographically distributed assets (CJ, DD, HDA, KW, MB, BB, PB, JL), pp. 225–230.
- ICEIS-v1-2015-BousdekisMAM
- Supporting the Selection of Prognostic-based Decision Support Methods in Manufacturing (AB, BM, DA, GM), pp. 487–494.
- CASE-2014-HerrNV #complexity #distributed #framework #scheduling
- Prognostics-based scheduling in a distributed platform: Model, complexity and resolution (NH, JMN, CV), pp. 1054–1059.
- CASE-2010-Tobon-MejiaMZT #markov
- A mixture of Gaussians Hidden Markov Model for failure diagnostic and prognostic (DATM, KM, NZ, GT), pp. 338–343.
- DATE-2010-ShafiqueMH #adaptation #complexity #reduction #using #video
- An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusion (MS, BM, JH), pp. 1713–1718.
- CASE-2009-ChengP #predict
- A fusion prognostics method for remaining useful life prediction of electronic products (SC, MGP), pp. 102–107.
- CASE-2005-SuCHLL #design #implementation
- Design and implementation of an intelligent prognostics system (YCS, FTC, MHH, YCL, RCL), pp. 273–278.
- MLDM-2001-SchmidtG #abstraction #reasoning
- Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications (RS, LG), pp. 23–34.
- ICML-1998-Street #network #predict
- A Neural Network Model for Prognostic Prediction (WNS), pp. 540–546.
- ICML-1995-StreetMW #approach #induction #learning #predict
- An Inductive Learning Approach to Prognostic Prediction (WNS, OLM, WHW), pp. 522–530.