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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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boundary effects are of particular interest. Applications include MRAM, field sensors, and magnetic logic devices. key words Magnetic systems; Micromagnetic modeling; Mathematical software; Reference
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that the interaction between polymers and a single nanopore provides the physical basis of a multi-analyte sensor. Work is also underway to determine whether this system could be used as tool to rapidly sequence long
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systems. This work will specifically focus on combining ML algorithms with classical data analysis and control techniques to develop robust in situ (i.e., in real-time, during the operating experiment
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, economics, and all branches of science. Current concerns include the development and analysis of algorithms for the solution of problems of estimation, simulation and control of complex systems, and their
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single gold atomic bond. A high resolution force sensor is being developed that can mount as a sample in the UHV environment to serve as a calibration reference for the experiment. Along with atomic bond
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RAP opportunity at National Institute of Standards and Technology NIST Discrete Photon Detection Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51
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of traditional scientific intelligence with artificial intelligence (AI) to provide humans with actionable intelligence. Augmented intelligent solutions use on-machine sensors for measurements before and during
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measurements with fundamentally limited performance. Sensor types of particular interest include accelerometers, gyroscopes, and acoustic and ultrasound detectors, which can be more sensitive than
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, P., Wang, J., Li, J. and Cleary, T., 2020. Generating synthetic sensor data to facilitate machine learning paradigm for prediction of building fire hazard. Fire technology, pp.1-22. [2] Wang, J., Tam