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 ©2018 IEEE

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, 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, 10.18154/RWTH-2018-228701

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, 10.1109/GIIS.2018.8635659

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, 10.1109/TELFOR.2018.8611930 ©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