Model identification of polynomial NARX models involves a lengthy and computationally intensive procedure for selecting the model structure among a possibly large set of candidate regressors. If the model structure is under-parameterized to reduce the burden of the model selection phase, unsatisfactory results are generally obtained. This inaccuracy problem can be somewhat circumvented by focus...

In this work we perform the first comprehensive study of physical-layer identification of RFID transponders. We propose several techniques for the extraction of RFID physical-layer fingerprints. We show that RFID transponders can be accurately identified in a controlled environment based on stable fingerprints corresponding to their physical-layer properties. We tested our techniques on a set o...

management of project's knowledge is very effective in the performance of project management and carries a great portion in achieving the targets of organization and projects. in project-oriented organization, knowledge and experiences of projects play a crucial role. accurate identification and suitable application of knowledge in success of knowledge management is necessary. this combine...

Noise in quantum hardware remains the biggest roadblock for implementation of computers. To fight noise practical application near-term computers, instead relying on error correction which requires large qubit overhead, we turn to mitigation, make use extra measurements. Error extrapolation is an mitigation technique that has been successfully implemented experimentally. Numerical simulation an...