Publications from Oct/ 2019 to 2018

Machhamer, R., Dziubany, M., Czenkusch, L., Laux, H., Schmeink, A., Gollmer, K.-U., Naumann, S. and Dartmann, G.: Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware, in IEEE Access, Vol. 7, pp. 155088-155106, Oct. 2019, ISSN: 2169-3536, 10.1109/ACCESS.2019.2947581 ©2019 IEEE

Peine, A., Hallawa, A., Schöffski, O., Dartmann, G., Begic Fazlic, L., Schmeink, A., Marx, G. and Martin, L.: A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study, in JMIR Med Inform, Vol. 7, No. 4, p. e14806, Oct. 2019, ISSN: 2291-9694, 10.2196/14806

Ayad, A., Zamani, A., Schmeink, A. and Dartmann, G.: Design and Implementation of a Hybrid Anomaly Detection System for IoT, in Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS), pp. 1-6, IEEE, Oct. 2019, 10.1109/IOTSMS48152.2019.8939206 ©2019 IEEE

Hauck, M., Machhamer, R., Czenkusch, L., Gollmer, K.-U. and Dartmann, G.: Node and Block-based Development Tools for Distributed Systems with AI Applications, in IEEE Access, Sep. 2019, 10.1109/ACCESS.2019.2940113 ©2019 IEEE

Dartmann, G. (Ed.), Song, H. (Ed.) and Schmeink, A. (Ed.): Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things, Elsevier, 1st ed., Jul. 2019, ISBN: 978-0-12816-637-6

Vieting, P., de Lamare, R. C. , Martin, L., Dartmann, G. and Schmeink, A.: Likelihood-Based Adaptive Learning in Stochastic State-Based Models, in IEEE Signal Processing Letters, Vol. 26, No. 7, pp. 1031-1035, Jul. 2019, ISSN: 1558-2361, 10.1109/LSP.2019.2917495

Zamani, A., Taghizade, O., Dartmann, G., Mathar, R. and Schmeink, A.: Joint User Association and Robust Beamforming Optimization for C-RANs with Wireless Fronthauls, in The 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019), pp. 1-5, Jul. 2019, ISSN: 1948-3244, 10.1109/SPAWC.2019.8815413

Topal, O. A., Demir, , Dartmann, G., Schmeink, A., Ascheid, G., Pusane, A. E. and Karabulut Kurt, G.: Physical Layer Spoofing Against Eavesdropping Attacks, in The 8th Mediterranean Conference on Embedded Computing - MECO'2019 , pp. 1-5, Jun. 2019, ISSN: 2377-5475, 10.1109/MECO.2019.8760168 ©2019 IEEE

Begic Fazlic, L., Hallawa, A., Schmeink, A., Peine, A., Martin, L. and Dartmann, G.: A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines, in 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (IEEE), Apr. 2019, 10.23919/MIPRO.2019.8756929

Hallawa, A., Zechendorf, E., Song, Y., Schmeink, A., Peine, A., Marin, L., Ascheid, G. and Dartmann, G.: On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets, in Evostar Conference(Cham), pp. 254--269, Springer International Publishing, 2019, ISBN: 978-3-03016-692-2, 10.1007/978-3-030-16692-2_17

Tedik, S., Karabulut Kurt, G., Oke, G., Schmeink, A., Ascheid, G. and Dartmann, G.: The Safety Analysis: Disagreement of Wireless Communication-based Consensus, in IEEE Wireless Communication Letters, Vol. 7, No. 6, pp. 998-1001, Dec. 2018, ISSN: 2162-2345, 10.1109/LWC.2018.2844162

Dziubany, M., Machhamer, R., Laux, H., Schmeink, A., Gollmer, K.-U., Burger, G. and Dartmann, G.: Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware, in Proceedings of European Signal Processing Conference (EUSIPCO), pp. 2050-2054, Sep. 2018, 10.23919/EUSIPCO.2018.8553155

Pallasch, C., Peitz, A., Herfs, W., Schmeink, A. and Dartmann, G.: Novel approach for wireless commissioning and assisted process development based on Bluetooth Low Energy, in 23rd International Conference on Emerging Technologies and Factory Automation, IEEE, Jul. 2018, 10.1109/ETFA.2018.8502455 ©2018 IEEE

Vieting, P., de Lamare, R. C. , Martin, L., Dartmann, G. and Schmeink, A.: An Adaptive Learning Approach to Parameter Estimation for Hybrid Petri Nets in Systems Biology, in IEEE Statistical Signal Processing Workshop (SSP), pp. 543-547, Jun. 2018, 10.1109/SSP.2018.8450824

Laux, H., Bytyn, A., Ascheid, G., Schmeink, A., Karabulut Kurt, G. and Dartmann, G.: Learning-Based Indoor Localization for Industrial Applications, in Workshop on Sensor Data Fusion and Machine Learning for next Generation of Cyber-Physical-Systems in conjunction with ACM International Conference on Computing Frontiers 2018, pp. 355-362 , ACM New York, NY, May. 2018, 10.1145/3203217.3203227

Zechendorf, E., Vaßen, P., Zhang, J., Hallawa, A., Schuerholz, T., Martincuks, A. , Krenkel, O. , Müller-Newen, G. , Simon, T.-P., Marx, G., Ascheid, G., Schmeink, A., Dartmann, G., Thiemermann, C. and Martin, L.: Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes – A Medical-In-Silico Approach Using Machine Learning, in Frontiers in Immunology , Frontiers, Feb. 2018, accepted for publication, 10.3389/fimmu.2018.00393

Dziubany, M., Schneider, J., Schmeink, A., Dartmann, G., Gollmer, K.-U. and Naumann, S.: Prognose von Wärmeverbräuchen: Stolpersteine und Lösungen, in Umweltinformatik zwischen Nachhaltigkeit und Wandel, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, 2018, accepted for publication

Demir, , Karabulut Kurt, G., Dartmann, G., Ascheid, G. and Pusane, A. E.: Security Analysis of Forward Error Correction Codes in Relay Aided Networks, in Global Information Infrastructure and Networking Symposium, 2018, accepted for publication

Topal, O. A., Liang, Z., Ascheid, G., Dartmann, G. and Kurt, G.: Using of Wavelets for Secret Key Generation: A Measurement Based Study, in 26th Telecommunications forum TELFOR 2018, 2018, accepted for publication ©2018 IEEE

Hinkelmann, D., Schmeink, A. and Dartmann, G.: Distributed learning-based state prediction for multi-agent systems with reduced communication effort, in effort Workshop on Sensor Data Fusion and Machine Learning for next Generation of Cyber-Physical-Systems in conjunction with ACM International Conference on Computing Frontiers , pp. 376-380, ACM New York, NY, USA, 2018, 10.1145/3203217.3203230