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IPSN
2004
Springer
16 years 21 hour ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
INFSOF
2007
139views more  INFSOF 2007»
15 years 6 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...
COMPSAC
2006
IEEE
16 years 22 days ago
Automated Agent Synthesis for Situation Awareness in Service-Based Systems
Service-based systems have many applications, such as collaborative research and development, e-business, health care, military applications, and homeland security. In dynamic ser...
Stephen S. Yau, Haishan Gong, Dazhi Huang, Wei Gao...
VOSS
2004
Springer
152views Mathematics» more  VOSS 2004»
16 years 3 hour ago
Symbolic Representations and Analysis of Large Probabilistic Systems
Abstract. This paper describes symbolic techniques for the construction, representation and analysis of large, probabilistic systems. Symbolic approaches derive their efficiency by...
Andrew S. Miner, David Parker
ECIS
2003
15 years 8 months ago
Towards a stakeholder analysis of information systems development project abandonment
This study adopts a stakeholder analysis to examine stakeholders’ roles and contributions in influencing organizational decisions to abandon information systems (IS) development...
Gary S. C. Pan, Donal J. Flynn