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EEG Based Neuromarketing Recommender System for Video Commercials., , , , , and . ICIIS, page 11-16. IEEE, (2021)The SINS/zC-SINF survey of z~2 galaxy kinematics: evidence for gravitational quenching, , , , , , , , , and 18 other author(s). (2013)cite arxiv:1310.3838Comment: submitted to ApJ.The SINS/zC-SINF survey of z~2 galaxy kinematics: Evidence for powerful AGN-driven nuclear outflows in massive star-forming galaxies, , , , , , , , , and 22 other author(s). (2013)cite arxiv:1311.2596Comment: 17 pages, 5 figures, submitted to Astrophysical Journal.The KMOS^3D Survey: design, first results, and the evolution of galaxy kinematics from 0.7<z<2.7, , , , , , , , , and 17 other author(s). (2014)cite arxiv:1409.6791Comment: 20 pages, 11 figures, submitted to ApJ.The angular momentum distribution and baryon content of star forming galaxies at z~1-3, , , , , , , , , and 18 other author(s). (2015)cite arxiv:1510.03262Comment: Submitted to Astrophysical Journal.Evidence for Wide-Spread AGN Driven Outflows in the Most Massive z~1-2 Star Forming Galaxies, , , , , , , , , and 28 other author(s). (2014)cite arxiv:1406.0183Comment: Submitted to Astrophysical Journal.KMOS^3D: Dynamical constraints on the mass budget in early star-forming disks, , , , , , , , , and 19 other author(s). (2016)cite arxiv:1603.03432Comment: Submitted to ApJ. Fig. 4 compares stellar and baryonic masses to dynamical masses. Fig. 6 and 7 show the dependence of stellar and baryonic mass fractions on redshift and surface density.Designing Privacy-aware Internet of Things Applications., , , and . CoRR, (2017)Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms., , , , and . IOT, page 83-92. ACM, (2016)Protecting Privacy in the Cloud: Current Practices, Future Directions., , , , and . Computer, 49 (2): 68-72 (2016)