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Securing Timing Synchronization in Sensor Networks.

S. Capkun, S. Ganeriwal, S. Han, and M. Srivastava. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, volume 30 of Advances in Information Security, Springer, (2007)

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Liao Han University of Stuttgart

Qi Han

Hon. -Prof. Dr. -Ing. Volker Simon University of Stuttgart

Univ. -Prof. Dr. -Ing. Sven Simon University of Stuttgart

Adina Lucia Simonovic University of Stuttgart

Other publications of authors with the same name

Securing Timing Synchronization in Sensor Networks.S. Capkun, S. Ganeriwal, S. Han, and M. Srivastava. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, volume 30 of Advances in Information Security, Springer, (2007)A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer.S. Shen, S. Han, P. Petousis, F. Meng, W. Hsu, and A. Bui. AMIA, AMIA, (2015)A data-driven approach for quality assessment of radiologic interpretations.W. Hsu, S. Han, C. Arnold, A. Bui, and D. Enzmann. JAMIA, 23 (e1): e152-e156 (2016)Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network.P. Petousis, S. Han, D. Aberle, and A. Bui. Artificial Intelligence in Medicine, (2016)Virtual Screening for SHP-2 Specific Inhibitors Using Grid Computing.S. Han, M. Levesque, K. Ichikawa, S. Date, and J. Haga. eScience, page 555-562. IEEE Computer Society, (2008)Generating Reward Functions Using IRL Towards Individualized Cancer Screening.P. Petousis, S. Han, W. Hsu, and A. Bui. AIH@IJCAI (Revised Selected Papers), volume 11326 of Lecture Notes in Computer Science, page 213-227. Springer, (2018)An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification.S. Shen, S. Han, D. Aberle, A. Bui, and W. Hsu. CoRR, (2018)A Bayesian model for estimating multi-state disease progression.S. Shen, S. Han, P. Petousis, R. Weiss, F. Meng, A. Bui, and W. Hsu. Comp. in Bio. and Med., (2017)An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification.S. Shen, S. Han, D. Aberle, A. Bui, and W. Hsu. Expert Syst. Appl., (2019)Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis.S. Shen, S. Han, D. Aberle, A. Bui, and W. Hsu. CVPR Workshops, page 63-66. Computer Vision Foundation / IEEE, (2019)