Visible to the public Biblio

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Li, Ruiyuan, Ruan, Sijie, Bao, Jie, Li, Yanhua, Wu, Yingcai, Zheng, Yu.  2017.  Querying Massive Trajectories by Path on the Cloud. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017). :1–4.
Taha, Ahmad F, Hachem, Nadim A, Panchal, Jitesh H.  2014.  A Quasi-Feed-In-Tariff policy formulation in micro-grids: A bi-level multi-period approach. Energy Policy. 71:63–75.
Y. Bao, M. Chen, Q. Zhu, T. wei, F. Mallet, T. Zhou.  2017.  Quantitative Performance Evaluation of Uncertainty-Aware Hybrid AADL Designs Using Statistical Model Checking. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. PP:1-1.
Heaslip, Kevin, Louisell, W, Collura, J.  2009.  Quantitative Evaluation of Transportation Resiliency for Regional Networks. Proceedings of the 88th Transportation Research Board Annual Meeting.
Tolga Bolukbasi, Kai{-}Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai.  2016.  Quantifying and Reducing Stereotypes in Word Embeddings. CoRR. abs/1606.06121
S. Han, U. Topcu, G. J. Pappas.  2017.  Quantification on the efficiency gain of automated ridesharing services. 2017 American Control Conference (ACC). :3560-3566.
Demarcus Briers, Iman Haghighi, Douglas White, Ashley Libby, Todd McDevitt, Melissa L. Kemp, Calin Belta.  2016.  Quantification and Synthesis of Emergent Behaviors of Locally Interacting Entities. International Workshop on Bioinformatics and Systems Biology.
Michael Adkins.  2017.  Quality-Aware Convergecast Voice Streaming System for Mobile Low Power Wireless Networks.
F. Restuccia, N. Ghosh, S. Bhattacharjee, S. K. Das,, T. Melodia.  Submitted.  Quality of Information in Mobile Crowdsensing: Survey and Research Challenges. ACM Transactions on Sensor Networks (Accepted to appear, 2017).
Hurd, Sam, Camp, Carmen, White, Jules.  2015.  Quality assurance in additive manufacturing through mobile computing. Mobile Computing, Applications, and Services: 7th International Conference, MobiCASE 2015, Berlin, Germany, November 12–13, 2015, Revised Selected Papers. :203-220.
S. Bhattacharjee, N. Ghosh, V. K. Shah,, S. K. Das.  2017.  QnQ: A Reputation Model to Secure Mobile Crowdsourcing Applications from Incentive Losses. Proceedings of the IEEE Conference on Communications and Network Security (CNS), Las Vegas, NV, Oct 2017. :35–45.