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Voltage sag analysis with distributed generation.

J. Varghese, M. Venmathi, und L. Ramesh. ICWET, Seite 1342-1343. ACM, (2011)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Christian León University of Stuttgart

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Performance analysis study on state estimation in power distribution network.L. Ramesh, und N. Chakraborty. IJAISC, 5 (3): 209-225 (2016)Performance Evaluation of Data Stream Mining Algorithm with Shared Density Graph for Micro and Macro Clustering.S. Gopinathan, und L. Ramesh. ISDA (2), Volume 941 von Advances in Intelligent Systems and Computing, Seite 668-676. Springer, (2018)Voltage sag analysis with distributed generation.J. Varghese, M. Venmathi, und L. Ramesh. ICWET, Seite 1342-1343. ACM, (2011)Capability Assessment and Performance Metrics for the Titan Multispectral Mapping Lidar.J. Diaz, W. Carter, C. Glennie, R. Shrestha, Z. Pan, N. Ekhtari, A. Singhania, D. Hauser, und M. Sartori. Remote Sensing, 8 (11): 936 (2016)Ancient Maya Regional Settlement and Inter-Site Analysis: The 2013 West-Central Belize LiDAR Survey.A. Chase, D. Chase, J. Awe, J. Weishampel, G. Iannone, H. Moyes, J. Yaeger, M. Brown, R. Shrestha, W. Carter und 1 andere Autor(en). Remote Sensing, 6 (9): 8671-8695 (2014)Dynamic Scheduling Algorithm for Reducing Start Time in Hadoop.S. Gunasekaran, L. Ramesh, S. Sabena, K. Selvakumar, S. Ganapathy, und A. Kannan. ICIA, Seite 123:1-123:4. ACM, (2016)Deep Memory Greedy Search with PSO for the Allocation of Job Shop Scheduling for Optimizing Shop Floor Performance.T. Hemamalini, A. Senthilvel, S. Somasundaram, und R. Thulasiram. CSC, Seite 335-338. CSREA Press, (2010)Analysis of spatial and temporal stability of airborne laser swath mapping data in feature space.B. Luzum, K. Slatton, und R. Shrestha. IEEE Trans. Geoscience and Remote Sensing, 43 (6): 1403-1420 (2005)Early results from a high-resolution hybrid terrestrial and bathymetry mapping LiDAR.J. Diaz, W. Carter, R. Shrestha, C. Glennie, M. Sartori, und A. Singhania. IGARSS, Seite 4994-4997. IEEE, (2012)Automatic feature extraction from airborne lidar measurements to identify cross-shore morphologies indicative of beach erosion.M. Starek, R. Vemula, K. Slatton, R. Shrestha, und B. Carter. IGARSS, Seite 2511-2514. IEEE, (2007)