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Disambiguation of "Reina, G."

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A User Interaction Design for Object Manipulation via Eye Tracking in Virtual Reality

, , , , and . IEEE Conf. on Virtual Reality and 3D User Interfaces (VR), (2019)

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Dr. Guido Reina University of Stuttgart

G. Daiß

G. Wagner

Alexander Reinauer University of Stuttgart

Univ. -Prof. Dr. -Ing. Götz Gresser University of Stuttgart

Performance Investigation of Different PV Technologies on Pneumatically Actuated Adaptive Facade at a Demonstrator Building in Freiburg, Germany, , , , , , , and . Proceedings of SimBuild Conference 2024, 11, page 661-667. International Building Performance Simulation Association, (2024)
 

Other publications of authors with the same name

Algorithm 36 SNIFF: Efficient self-tuning algorithm for numerical integration., , and . Computing, 20 (4): 363-375 (1978)2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution, , , , , , , , , and 8 other author(s). IEEE Computer Graphics and Applications (CG&A), (2020)Visual analysis of two‐phase flow displacement processes in porous media, , , , , , and . Computer Graphics Forum, (2022)Molecular Surface Maps, , , , , , , and . IEEE Trans Vis Comput Graph, (2017)A User Interaction Design for Object Manipulation via Eye Tracking in Virtual Reality, , , , and . IEEE Conf. on Virtual Reality and 3D User Interfaces (VR), (2019)Improving discovery phase of reactive ad hoc routing protocols using Jaccard distance., , , and . The Journal of Supercomputing, 67 (1): 131-152 (2014)Authentication Systems Using ID Cards over NFC Links: The Spanish Experience Using DNIe., , , , and . EUSPN/ICTH, volume 21 of Procedia Computer Science, page 91-98. Elsevier, (2013)Evaluation of Ad Hoc Networks in Disaster Scenarios., , , , and . INCoS, page 759-764. IEEE Computer Society, (2011)JDER: A history-based forwarding scheme for delay tolerant networks using Jaccard distance and encountered ration., , , , and . J. Network and Computer Applications, (2014)Analysis of Probabilistic Forwarding in Opportunistic Networks Using the Percolation Theory., , , , and . DeSE, page 51-56. IEEE, (2013)