Fault detection and diagnosis (FDD) is essential for maintaining safety and preventing hazardous situations in industrial process control. Effective fault diagnosis allows for the timely detection and ...
ABSTRACT: Tropical forests have large carbon stocks and their conservation is a very important mitigation measure against global warming. However, this carbon pool is the most vulnerable to ...
Quantum metrology leverages quantum resources such as quantum entanglement or squeezing in many-body systems to achieve precision beyond the limits of classical measurement schemes, offering ...
The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...
“These are just two examples of how structural demand estimation complies with increasingly stringent legal standards.” In patent damages calculations, an expert generally faces the task of comparing ...
Abstract: Many applications require state estimation where possible values of the state are constrained to an interval (say, the valve position in percent) or the unit circle (say, the direction a ...
Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...
Abstract: Map-matching refers to the process of projecting positioning measurements to a location on a digital road network map. It is an important element of intelligent transportation systems (ITS) ...
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