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A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres.

Y. Zhu, D. Liu, R. Grosu, X. Wang, H. Duan, and G. Wang. Sensors, 17 (9): 2049 (2017)

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Mixed Relations as Enriched Semiringal Categories.R. Grosu, D. Lucanu, and G. Stefanescu. J. UCS, 6 (1): 112-129 (2000)Hybrid Sequence Charts.R. Grosu, I. Krüger, and T. Stauner. ISORC, page 104-. IEEE Computer Society, (2000)Power Optimization in Fault-Tolerant Mobile Ad Hoc Networks.O. Riganelli, R. Grosu, S. Das, C. Ramakrishnan, and S. Smolka. HASE, page 362-370. IEEE Computer Society, (2008)Monitoring of MTL specifications with IBM's spiking-neuron model.K. Selyunin, T. Nguyen, E. Bartocci, D. Nickovic, and R. Grosu. DATE, page 924-929. IEEE, (2016)Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans.M. Islam, Q. Wang, R. Hasani, O. Balun, E. Clarke, R. Grosu, and S. Smolka. HLDVT, page 170-177. IEEE, (2016)A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems.D. Ratasich, F. Khalid, F. Geissler, R. Grosu, M. Shafique, and E. Bartocci. IEEE Access, (2019)Curvature Analysis of Cardiac Excitation Wavefronts.A. Murthy, E. Bartocci, F. Fenton, J. Glimm, R. Gray, E. Cherry, S. Smolka, and R. Grosu. IEEE/ACM Trans. Comput. Biology Bioinform., 10 (2): 323-336 (2013)Computing with Biophysical and Hardware-Efficient Neural Models.K. Selyunin, R. Hasani, D. Ratasich, E. Bartocci, and R. Grosu. IWANN (1), volume 10305 of Lecture Notes in Computer Science, page 535-547. Springer, (2017)Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model.R. Hasani, G. Wang, and R. Grosu. IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 392-402. Springer, (2017)Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks.R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu. CoRR, (2018)

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A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres.

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A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres.