Titlebook: Uncertainty Data in Interval-Valued Fuzzy Set Theory; Properties, Algorith Barbara Pękala Book 2019 Springer Nature Switzerland AG 2019 Int

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Barbara Pȩkalaictive model which estimates the glucose levels based on PPG signals. Error in estimating glucose levels came out to be 5.48 mg/dl using ANN on MATLAB. This predictive model created by ANN has been implemented on field programmable gate array (FPGA). Error in estimating glucose levels by the ANN mod

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escent (e.g. quantum dots, up-converting phosphorus NPs) nanoparticles are modified with the Ag/Ab and integrated into paper-based sensors for the detection of target pollutants. Advancements in the technology will further improve the limit of detection which validates its superiority over existing

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Uncertainty Data in Interval-Valued Fuzzy Set TheoryProperties, Algorith

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multi-element sensor array, thereby allowing the elimination of unwanted sensitivities through suitable signal processing. The use of a pattern recognition strategy in the realisation of such an “intelligent” chemical sensor is implicit in the assumption that individual gas species can be identifie

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Barbara Pȩkalant fields. In doing so we have automatically covered very nearly all the transducers there are. For example, although we have not specifically discussed force measurement, this is usually done by applying the force to some elastic member and measuring the resulting deflection with a displacement tra

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Barbara Pȩkalahese structures include antennas, solar arrays, solar concentrators, reflectors, etc. These structures are made of flexible polymers which can be folded and easily carried with spacecraft due to their small volume and weight. Structures, when reaching their destination, are inflated through internal

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