Results 41 to 50 of about 69 (69)
Some of the next articles are maybe not open access.
Proceedings of the 28th IEEE Conference on Decision and Control, 2003
Consideration is given to a random process whose state is observed by N distributed sensors. Each sensor's measurements are supplied to a nearby local station. Each station processes its observation history to produce a local conditional density function.
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Consideration is given to a random process whose state is observed by N distributed sensors. Each sensor's measurements are supplied to a nearby local station. Each station processes its observation history to produce a local conditional density function.
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Measurement Science and Technology, 1997
Data fusion is a topic which is currently causing much interest. In NDT, the combining of data from a number of independent sources related to the same test component can provide a more complete and accurate assessment of any flaws present. Ultrasonic testing, radiographic and eddy current inspection, as well as other methods, can provide the required ...
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Data fusion is a topic which is currently causing much interest. In NDT, the combining of data from a number of independent sources related to the same test component can provide a more complete and accurate assessment of any flaws present. Ultrasonic testing, radiographic and eddy current inspection, as well as other methods, can provide the required ...
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2015
In the chapter on personnel detection, we talked about using multimodal and multi-sensor systems in order to attain a high probability of detection with fewer false alarms and high confidence in the decision process.
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In the chapter on personnel detection, we talked about using multimodal and multi-sensor systems in order to attain a high probability of detection with fewer false alarms and high confidence in the decision process.
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Proceedings of the Third International Conference on Information Fusion, 2000
Standard techniques for data fusion are quantitative in character. Numerical methods, however, are not always suitable for data that are not numerical but rather qualitative and/or relational in character. In Russia Professor Victor K. Finn has developed an approach to data fusion in qualitative contexts that he calls "the JSM Method of Hypothesis ...
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Standard techniques for data fusion are quantitative in character. Numerical methods, however, are not always suitable for data that are not numerical but rather qualitative and/or relational in character. In Russia Professor Victor K. Finn has developed an approach to data fusion in qualitative contexts that he calls "the JSM Method of Hypothesis ...
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Receptor binding and priming of the spike protein of SARS-CoV-2 for membrane fusion
Nature, 2020Steven J Gamblin +2 more
exaly
Translating cancer genomes and transcriptomes for precision oncology
Ca-A Cancer Journal for Clinicians, 2016Sameek Roychowdhury, Arul M Chinnaiyan
exaly