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- W1501496415 abstract "Multiple sensors are used for much the same reasons as redundant computation channels; viz to tolerate certain types of error, incompleteness, inaccuracy, and/or tardiness in the data supplied by individual system elements such as sensors or processors. Data fusion in multi-sensor systems is investigated by numerous signal processing researchers. The problem of voting or, more generally, integrating results from multiple identical or diverse computations has been studied by computer scientists/engineers interested in fault tolerance and distributed computing issues. With very few exceptions, these groups publish their results in disjoint conferences and journals. Thus, there is little interaction and cross-fertilization between the two efforts. We review common aspects of the two problems and show how a data-driven methodology may offer potentials for tackling both problems within a unified framework." @default.
- W1501496415 created "2016-06-24" @default.
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- W1501496415 date "2002-11-19" @default.
- W1501496415 modified "2023-09-26" @default.
- W1501496415 title "Multi-sensor data fusion and reliable multi-channel computation: unifying concepts and techniques" @default.
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- W1501496415 doi "https://doi.org/10.1109/acssc.1995.540649" @default.
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