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2017
M. - P. Hosseini, Tran, T. X., Pompili, D., Elisevich, K., and Soltanian-Zadeh, H., Deep learning with edge computing for localization of epileptogenicity using multimodal rs-fmri and eeg big data, Autonomic Computing (ICAC), 2017 IEEE International Conference on. IEEE, 2017.PDF icon 08005336.pdf (842.98 KB)
T. X. Tran, Kazemi, F., Karimi, E., and Pompili, D., Mobee: Mobility-Aware Energy-Efficient Coded Caching in Cloud Radio Access Networks, 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2017.
T. X. Tran, Hosseini, M. - P., and Pompili, D., Mobile Edge Computing: Recent Efforts and Five Key Research Directions, IEEE COMSOC MMTC Commun.-Frontiers, pp. 29-34, 2017.PDF icon frontiers.pdf (212.94 KB)
M. - P. Hosseini, Pompili, D., Elisevich, K., and Soltanian-Zadeh, H., Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things, IEEE Transactions on Big Data, pp. 1–1, 2017.PDF icon Optimized Deep Learning for EEG Big Data and IoT.pdf (1.17 MB)
M. Rahmati and Pompili, D., SSFB: Signal-Space-Frequency Beamforming for Underwater Acoustic Video Transmission, 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2017.PDF icon 2324a180_Mehdi(SSFB).pdf (1.06 MB)
T. X. Tran, Younis, A., and Pompili, D., Understanding the Computational Requirements of Virtualized Baseband Units using a Programmable Cloud Radio Access Network Testbed, IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2017.PDF icon 2017_ICAC_CRAN.pdf (1.11 MB)
M. Rahmati and Pompili, D., UNISeC: Inspection, Separation, and Classification of Underwater Acoustic Noise Point Sources, IEEE Journal of Oceanic Engineering, 2017.PDF icon UNISeC.pdf (3.44 MB)
2011
Y. Yuan, Lee, E. K., Pompili, D., and Liao, J., Thermal Anomaly Detection in Datacenters, Journal of Mechanical Engineering Science (SAGE), vol. 1, no. 1, pp. 1-14, 2011.PDF icon anomaly1.pdf (1.13 MB)

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