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A BP-Neural Network Improvement to Hop-Counting for Localization in Wireless Sensor Networks.

Y. Xu, J. Ford, E. Becker, and F. Makedon. Tools and Applications with Artificial Intelligence, volume 166 of Studies in Computational Intelligence, Springer, (2009)

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Eric Steinbrücker University of Stuttgart

Franziska Becker University of Stuttgart

Dr. -Ing. Eric Jennes University of Stuttgart

Dr. -Ing. Dina Becker University of Stuttgart

Eric Nkrumah University of Stuttgart

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An event driven framework for assistive CPS environments.F. Makedon, Z. Le, H. Huang, E. Becker, and D. Kosmopoulos. SIGBED Review, 6 (2): 3 (2009)Human behavioral detection and data cleaning in assisted living environment using wireless sensor networks.K. Park, E. Becker, J. Vinjumur, Z. Le, and F. Makedon. PETRA, ACM, (2009)SmartDrawer: RFID-based smart medicine drawer for assistive environments.E. Becker, V. Metsis, R. Arora, J. Vinjumur, Y. Xu, and F. Makedon. PETRA, ACM, (2009)Decision making in assistive environments using multimodal observations.Y. Lin, E. Becker, K. Park, Z. Le, and F. Makedon. PETRA, ACM, (2009)Extending event-driven experiments for human activity for an assistive environment.E. Becker, R. Arora, S. Phan, J. Vinjumur, and F. Makedon. PETRA, ACM, (2010)A review of wearable heart rate sensors in research.M. Harraghy, D. Calderon, R. Lietz, J. Brady, F. Makedon, and E. Becker. PETRA, page 315-316. ACM, (2019)Survey of mood detection through various input modes.R. Lietz, M. Harraghy, D. Calderon, J. Brady, E. Becker, and F. Makedon. PETRA, page 28-31. ACM, (2019)The visually pervasive augmented world.P. Sassaman, E. Becker, and F. Makedon. PETRA, page 20:1-20:8. ACM, (2013)Modeling reliability for wireless sensor node coverage in assistive testbeds.Z. Le, E. Becker, D. Konstantinides, C. Ding, and F. Makedon. PETRA, ACM, (2010)Experiments with computer vision methods for fall detection.Z. Zhang, E. Becker, R. Arora, and V. Athitsos. PETRA, ACM, (2010)