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> 2017

Journal Papers

  • M. Wang, L.L.S. Ong, J. Dauwels, H. H. Asada, ""Automated tracking and quantification of angiogenic vessel formation in 3D microfluidic devices", PLOS ONE, Nov 2017, Volume:  12, Issue: 11, DOI: 10.17605/OSF.IO/8MJPW), (IF: 11.675).

  • S. R. Ravula, S. C. Narasimman, L. Wang, A. Ukil, "Experimental Validation of Leak and Water-Ingression Detection in Low-Pressure Gas Pipeline Using Pressure and Flow Measurements", IEEE Sensors Journal, October 2017, vol. 17:20, pp. 6734-6742 (IF: 2.617). 

  • L. Wang, S. C. Narasimman, S. R. Ravula, A. Ukil, "Water Ingress Detection in Low-Pressure Gas Pipelines Using Distributed Temperature Sensing System", IEEE Sensors Journal, May 2017, vol. 17:10, pp. 3165-3173 (IF: 2.617)

  • H. Yu, W. I. Uy, and J. Dauwels, “Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas,” IEEE Transactions on Signal Processing, Feb 2017, Volume: 65, Issue: 3, Pages: 571 - 586, DOI: 10.1109/TSP.2016.2614485 (IF: 2.813).    PDF

Conference Papers

  • K. Lee, A. Prokhorchuk, J. Dauwels, P. Jaillet, "Estimation of travel time from taxi GPS data", 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Nov 27 to Dec 1, 2017, Honolulu, Hawaii, USA

  • B. Ghosh, J. Dauwels, U. Fastenrath, "Analysis and prediction of the queue length for non-recurring road incidents", IEEE Symposium Series on Computational Intelligence (SSCI-2017), 27 Nov-1st Dec 2017, Honolulu, Hawaii, USA.

  • S. Neogi, M. Hoy, J. Dauwels, "Context Based Pedestrian Intention Prediction using Factored Latent Dynamic Conditional Random Fields", 2017 IEEE Symposium Series on Computational Intelligence, 27-31 Nov 2017, Hawaii, USA

  • S.C. Narasimman, S. R. Ravula, L. Wang, A. Ukil, J. Dauwels, "Water ingress detection in low-pressure gas pipelines using vibration sensors," 43rd Annual Conference of the IEEE Industrial Electronics Society,  Beijing, China, 29 Oct - 1 Nov 2017.

  • S.C. Nagavarapu, T.Tripathy, J.Dauwels, "Development of a Simulation Platform to Implement Vehicle Routing Algorithms for Large Scale Fleet Management Systems", 20th IEEE International Conference on Intelligent Transportation Systems (ITSC): Workshop, 16-19 Oct 2017, Yokohama, Japan

  • A. Prokhorchuk, V.P. Payyada, J. Dauwels, P. Jaillet, "Estimating travel time distributions using copula graphical lasso", 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), October 16 - 19, 2017, Yokohama, Japan

  • D. Chakraborty, Y. Tahir, T. Maszczyk, J. Dauwels, D. Thalmann, N.M. Thalmann, B. L. Tan, J. C. K. Lee, "Assessment and prediction of negative symptoms of schizophrenia from RGB+ D movement signals", IEEE 19th International Workshop on Multimedia Signal Processing (MMSP2017), 16-18 October 2017, Luton, UK.

  • J. Thomas, T. Maszczyk, N. Sinha, T. Kluge, J. Dauwels, "Deep learning-based classification for brain-computer interfaces," 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017), 5-8 October 2017, Banff, Canada.

  • J. Thomas, J. Jing, J. Dauwels, S.S. Cash, M. B. Westover, "Automated epileptiform spike detection via affinity propagation-based template matching," 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), 11-15 July 2017, Jeju, Korea. ​

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