Miodrag Bolic, Ph.D.
Affiliations: | 2004 | Stony Brook University, Stony Brook, NY, United States |
Area:
Signal analysis, modeling, and processing; Monte Carlo methods; wireless communications and sensor networksGoogle:
"Miodrag Bolic"Parents
Sign in to add mentorPetar Djuric | grad student | 2004 | SUNY Stony Brook | |
(Architectures for efficient implementation of particle filters.) |
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Publications
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Sadreazami H, Bolic M, Rajan S. (2020) Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network Ieee Transactions On Circuits and Systems Ii-Express Briefs. 67: 197-201 |
Nejadgholi I, Sadreazami H, Baird Z, et al. (2019) Estimation of Breathing Rate with Confidence Interval Using Single-Channel CW Radar. Journal of Healthcare Engineering. 2019: 2658675 |
Sadreazami H, Bolic M, Rajan S. (2019) CapsFall: Fall Detection Using Ultra-Wideband Radar and Capsule Network Ieee Access. 7: 55336-55343 |
Nejadgholi I, Sadreazami H, Rajan S, et al. (2019) Classification of Doppler radar reflections as preprocessing for breathing rate monitoring Iet Signal Processing. 13: 21-28 |
Abderahman HN, Dajani HR, Bolic M, et al. (2017) An integrated blood pressure measurement system for suppression of motion artifacts. Computer Methods and Programs in Biomedicine. 145: 1-10 |
Bolic M, Parri J, Wang W. (2017) pvFPGA: paravirtualising an FPGA-based hardware accelerator towards general purpose computing International Journal of High Performance Computing and Networking. 10: 179 |
Forouzanfar M, Dajani HR, Groza VZ, et al. (2016) Bayesian fusion algorithm for improved oscillometric blood pressure estimation. Medical Engineering & Physics |
Baktash S, Forouzanfar M, Batkin I, et al. (2016) Characteristic Ratio-Independent Arterial Stiffness-Based Blood Pressure Estimation. Ieee Journal of Biomedical and Health Informatics |
Mabrouk M, Rajan S, Bolic M, et al. (2016) Human Breathing Rate Estimation from Radar Returns Using Harmonically Related Filters Journal of Sensors. 2016 |
Guo H, He C, Wang N, et al. (2016) PSR: A Novel High-Efficiency and Easy-to-Implement Parallel Algorithm for Anticollision in RFID Systems Ieee Transactions On Industrial Informatics. 12: 1134-1145 |