Bernd Hamann - Publications Authored, Co-authored, or Co-edited (Including Accepted Publications to Appear)

2021

[488] Banesh, D., Petersen, M.R., Ahrens, J.P., Turton, T.L., Samsel, F., Schoonover, J. and Hamann, B. (2021), An image-based framework for ocean feature detection and analysis (pdf), to appear in Journal of Geovisualization and Spatial Analysis, Springer-Verlag, 21 pages, Springer-Verlag, 21 pages, DOI doi.org/10.1007/s41651-021-00085-8.

[489] Claus, F., Hagen, H. and Hamann, B. (2021), Calculating the gravity-free shape of sheet metal parts (pdf), to appear in The International Journal of Advanced Manufacturing Technology, Springer-Verlag, 17 pages, DOI doi.org/10.1007/s00170-021-06702-6.

[490] Claus, F., Hagen, H. and Hamann, B. (2021), Calculating stress-free shapes of sheet metal parts measured with over-constrained fixtures (docx), to appear in: Proceedings of NAFEMS World Congress 2021 (NWC 21), National Agency for Finite Element Methods and Standards (NAFEMS) Ltd., Hamilton, United Kingdom.

[491] Claus, F., Hamann, B., Leitte, H. and Hagen, H. (2021), Decomposing deviations of scanned surfaces of sheet metal assemblies (pdf), Journal of Manufacturing Systems 61, Elsevier, pp. 125-138.

[492] Claus, F., Hagen, H., Leonhardt, V., Leitte, H. and Hamann, B. (2021), Interactive quality inspection of measured deviations in sheet assemblies (pdf), in: Garth, C., Aurich, J.C., Linke, B., Mueller, R., Ravani, B., Weber, G.H. and Kirsch, B., eds., Physical Modeling for Virtual Manufacturing Systems and Processes 2020 (iPMVM 2020), OpenAccess Series in Informatics (OASIcs), Vol. 89, Schloss Dagstuhl - Leibniz Center for Informatics, Wadern, Germany, pp. 6:1-6:18.

[493] Dutra da Silva, R., Pedrini, H. and Hamann, B. (2021), The discrete Morse complex of images: Algorithms, modeling and applications (pdf), in: Garth, C., Aurich, J.C., Linke, B., Mueller, R., Ravani, B., Weber, G.H. and Kirsch, B., eds., Physical Modeling for Virtual Manufacturing Systems and Processes 2020 (iPMVM 2020), OpenAccess Series in Informatics (OASIcs), Vol. 89, Schloss Dagstuhl - Leibniz Center for Informatics, Wadern, Germany, pp. 18:1-18:19.

[494] Mosbach, D., Gospodnetic, P., Rauhut, M., Hamann, B. and Hagen, H. (2021), Feature driven viewpoint placement for model based surface inspection (pdf), Machine Vision and Applications 32(1), article 8, Springer-Verlag, 21 pages.

[495] Mosbach, D., Schladitz, K., Hamann, B. and Hagen, H. (2021), Topologically robust B-spline reconstruction of fibers from 3D images (pdf), to appear in: Hotz, I., Masood, T.B., Sadlo, F. and Tierny, J., eds., Topological Methods in Visualization: Theory, Software, and Applications, Springer-Verlag, Heidelberg, Germany.

[496] Murugesan, S., Kiran, M., Hamann, B. and Weber, G.H. (2021), Netostat: Analyzing dynamic flow patterns in high-speed networks, revision under review, submitted to: Zhu, M., Neuwirth, S.M. and Kiran, M., eds. Cluster Computing: The Journal of Networks, Software Tools and Applications, special issue (Supercomputing 2020 (SC20) - Seventh Annual International Workshop on Innovating the Network for Data-intensive Science (INDIS 2020)), Springer-Verlag.

[497] Naranjo Valero, C.X., Srinavasan, S.K., Ebert, A. and Hamann, B. (2021), Enhanced freehand interaction by combining vision and EMG-based systems in mixed reality environments (pdf), to appear in: Arabnia, H.R., Deligiannidis, L., Grimaila, M.R., Hodson, D.D., Joe, K., Sekijima, M. and Tinetti, F.G., eds. Advances in Parallel and Distributed Processing and Applications, Proceedings of The 2020 World Congress in Computer Science, Computer Engineering and Applied Computing (CSCE 20), The Seventeenth International Conference on Modeling, Simulation and Visualization (MSV 20), Springer-Verlag, Heidelberg, Germany.

[498] Pulido, J., Dutra da Silva, R., Livescu, D. and Hamann, B. (2021), Multiresolution classification of turbulence features in image data through machine learning (pdf), Computers and Fluids 214, article 104770, Elsevier, 11 pages.

[499] Vargas, A.R.S., Werneck, R., Moura, R., Mendes Junior, P., Prates, R., Castro, M., Goncalves, M., Hossain, M., Zampieri, M., Ferreira, A., Davolio, A., Hamann, B., Schiozer, D.J. and Rocha, A. (2021), A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data (pdf), to appear in Journal of Petroleum Science and Engineering, Elsevier, DOI doi.org/10.1016/j.petrol.2021.108988.

[500] Weber, P., Rupprecht, F., Wiesen, S., Hamann, B. and Ebert, A. (2021), Assessing cognitive load via pupillometry (pdf), to appear in: Arabnia, H.R., Ferens, K., de la Fuente, D., Kozerenko, E.B., Olivas, J.A. and Tinetti, F.G. eds., Advances in Artificial Intelligence and Applied Cognitive Computing, Proceedings of The 2020 World Congress in Computer Science, Computer Engineering and Applied Computing (CSCE 20), The Fourth International Conference on Applied Cognitive Computing (ACC 20), Springer-Verlag, Heidelberg, Germany.