Schacht M., Murach J., Machhamer R., Guldner A., Begic Fazlic L., Creutz L., Naumann S., Gollmer K. and Dartmann G., "Preprint: Architecture of an AI on Device Board for Local, Automated Training and Inference" (Preprint)
L. Creutz and G. Dartmann, "Digital guardians: How HiPEAC takes on cyberattacks," in HiPEAC Magazine, no. 72, pp. 22-27
A. Ayad, Y. -H. Tai, G. Dartmann and A. Schmeink, "Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks," in IEEE Access, vol. 12, pp. 83719-83732, 2024, doi: 10.1109/ACCESS.2024.3414184
Brosch, C.; Bouwens, A.; Bast, S.; Haab, S. and Krieger, R. (2023): Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction. In Proceedings of the 12th International Conference on Data Science, Technology and Applications, pages 488-495. https://doi.org/10.5220/0012132400003541
S. Naumann, A. Guldner, S. Weber, M. Westing: Was weiß ChatGPT über Nachhaltige Software-Entwicklung und Green Coding? Erste Tests und Bewertungen. In: INFORMATIK 2023 – Designing Futures: Zukünfte gestalten. Ed. by Maike Klein et al. Gesellschaft für Informatik e.V. (GI). Lecture Notes in Informatics (LNI), 2023, pp. 1277–1288. https://doi.org/10.18420/inf2023_136
Creutz L. and Dartmann G. , "Decentralized Policy Enforcement in Zero Trust Architectures," 2023 IEEE Future Networks World Forum (FNWF), Baltimore, MD, USA, 2023, pp. 1-6, doi: 10.1109/FNWF58287.2023.10520563. (PDF)
Gollmer, K.-U., Burger, G. (2023): IoT-Werkstatt, Mit IoT, MINT und Making die Zukunft gestalten, OER-Ressource https://www.umwelt-campus.de/fileadmin/Umwelt-Campus/IoT-Werkstatt/octopus/IoT_MINT_Making_Zukunft_Gestalten.pdf
Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G. & Höb, M. (Hrsg.), (2022): Konferenzband zur EnviroInfo 2022. Bonn: Gesellschaft für Informatik e.v. https://dl.gi.de/handle/20.500.12116/39406 (Short- /Work in Progress-Papers)
Haupenthal, K. and Fischer-Stabel, P., (2022): Smart Citizen Science in pluvial flood disaster risk reduction: Building a Smart Application as one tool for local drain path identification (Work in progress). In: Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G. & Höb, M. (Hrsg.), EnviroInfo 2022. Bonn: Gesellschaft für Informatik e.V. p. 65. https://dl.gi.de/handle/20.500.12116/39391
Obergöker, K., (2022): Analysis and evaluation of mobile apps with regard to resource efficiency and data volumes - Methodologies and tools. In: Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G. & Höb, M. (Hrsg.), EnviroInfo 2022. Bonn: Gesellschaft für Informatik e.V. p. 189. Available online: https://dl.gi.de/handle/20.500.12116/39398
Knebel, P., Appold, C., Guldner, A., Horbach, M., Juncker, Y., Machhamer, R., Müller, S. and Matheis, A., (2022): An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested Trees. In: Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G. & Höb, M. (Hrsg.), EnviroInfo 2022. Bonn: Gesellschaft für Informatik e.V. p. 111. Available online: https://dl.gi.de/handle/20.500.12116/39407
Guldner, A. and Murach, J. (2022): Measuring and Assessing the Resource and Energy Efficiency of Artificial Intelligence of Things Devices and Algorithms. In: Wohlgemuth, V., Naumann, S., Behrens, G., Arndt, HK., Höb, M. (eds) Advances and New Trends in Environmental Informatics. ENVIROINFO 2022. Progress in IS. Springer, Cham. DOI: 10.1007/978-3-031-18311-9_11
Begic Fazlic, L., Schacht, M., Morgen, M., Schmeink, A., Lipp, R., Martin, L., Vollmer, T., Winter, S., and Dartmann, G. Development and Implementation of the Data Science Learning Platform for Research Physician. Studies in Health Technology and Informatics. 2022 Nov;299:196-201. DOI: 10.3233/shti220983 . PMID: 36325863 .
Urschel, B., Begic Fazlic, L., Morgen, M., Machhamer, M., Dartmann, G. and K. -U. Gollmer, "A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors," 2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2022, pp. 1-6, doi: 10.1109/SDF55338.2022.9931945 .
Morgen, M., Begic Fazlic, L., Peine, A., Martin, L., Schmeink, A., Hallawa, A., & Dartmann, G. A Visualization and Benchmarking Simulator for Clinical Data. Studies in Health Technology and Informatics. 2022 Nov;299:223-228. DOI: 10.3233/shti220988 . PMID: 36325867 .
Renkhoff, J., Tan, W., Velasquez, A., Wang, W. Y., Liu, Y., Wang, J., Niu, S., Begic Fazlic, L., Dartmann, G., Song, H. Exploring Adversarial Attacks on Neural Networks: An Explainable Approach, 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2022, pp. 41-42, DOI: 10.1109/IPCCC55026.2022.9894322
Bast, S.; Brosch, C. and Krieger, R. (2022): A Hybrid Approach for Product Classification based on Image and Text Matching. In Proceedings of the 11th International Conference on Data Science, Technology and Applications, ISBN 978-989-758-583-8, ISSN 2184-285X, pages 293-300. DOI: 10.5220/0011260200003269
L. Creutz, J. Schneider, G. Dartmann, "Distributed Hash Table With Extensible Remote Procedure Calls" 2022 5th International Conference on Computational Intelligence and Networks (CINE), 2022 (accepted for publication)
L. Begic Fazlic, A. Halawa, A. Schmeink, R. Lipp, L. Martin, A. Peine, M. Morgen, T. Vollmer, Stefan Winter and G. Dartmann, A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int J Comput Intell Syst 15, 50 (2022). https://doi.org/10.1007/s44196-022-00100-w
L. Creutz, K. Wagner and G. Dartmann, "Cyber-Physical Contracts in Offline Regions," 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2022, pp. 461-469, doi: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00097. (PDF)
A. Ayad, A. Hallawa, A. Peine, L. Martin, L. Begic Fazlic, G. Dartmann, G. Marx, A. Schmeink, Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study, JMIR Med Inform 2022;10(8):e37658, URL: https://medinform.jmir.org/2022/8/e37658, DOI: 10.2196/37658
L.Creutz, J. Schneider and G. Dartmann, "Fides: Distributed Cyber-Physical Contracts", 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2021, pp. 51-60, doi: 10.1109/TPSISA52974.2021.00006.
Guldner, A.; Kern, E.; Kreten, S.; Naumann, S.: Criteria for Sustainable Software Products: Analyzing Software, Informing Users, and Politics. In Calero, C.; Moraga, M. A.; Piattini, M. (Eds.) Software Sustainability, pp. 17–42, ISBN 978-3-030-69969-7, DOI: 10.1007/978-3-030-69970-3, Springer Nature Switzerland, 2021
Guldner, A., Kreten, S. & Naumann, S., (2021). Exploration and systematic assessment of the resource efficiency of Machine Learning. In: Gesellschaft für Informatik e.V. (GI), INFORMATIK 2021- Computer Science & Sustainability., pp. 287–299, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn, 2021. DOI: 10.18420/informatik2021-023
Naumann, S.; Guldner,A. & Kern, E. : The Eco-label Blue Angel for Software - Development and Components. In Advances and New Trends in Environmental Informatics - Digital Twins for Sustainability, pp. 79–89, Springer, 2021
G. Dartmann (Hrsg.), A. Schmeink (Hrsg.), V. Lücken (Hrsg.), H. Song (Hrsg.), M. Ziefle (Hrsg.), Giovanni Prestiflippo (Hrsg.), Smart Transportation: AI Enabled Mobility and Autonomous Driving, (1st ed.). CRC Press. doi.org/10.1201/9780367808150
Allweyer, O., Schorr, C., Mohr, A., Krieger, R.: Product Classification Using Partially Abbreviated Product Names, Brands and Dimensions. In Data Management Technologies and Applications - 9th International Conference, DATA 2020, July 7-9, 2020, Revised Selected Papers, pp. 223-244, 2021
Harth, M., Schorr, C. , Krieger, R.: A hierarchical multi-level product classification workbench for retail, Proceedings of the LWDA 2020, online, Bonn, 2020
Creutz, L. and Dartmann, G., Cypher Social Contracts - A Novel Protocol Specification for Cyber Physical Smart Contracts, 13th IEEE International Conference on Cyber Physical and Social Computing (CPSCom- 2020), 2020
Steinberg, D.; Murach, J.; Guldner, A; Gollmer, K.-U.: Online energy forecasts for the Internet of Things. In: Digital Twins for Sustainability, proceedings of the 34. EnviroInfo Conference, 2020.
Dziubany, M. ; Schneider, J. ; Schmeink, A. & Dartmann,G. : Optimization of a CPSS-based Flexible Transportation System, International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT'2020), 2020
Begic Fazlic,L. ; Hallawa, A.; Dziubany, M. ; Morgen, M.; Schneider, J.; Schacht, M.; Schmeink, A.; Martin, L.; Peine, A.; Vollmer, T.; Winter, S. & Dartmann, G.: A Machine Learning Approach for the Classification of Disease Risks in Time Series, International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT'2020)
Dziubany, M. ; Creutz, L.; Kopp, S.; Schneider, J.; Schmeink, A. & Dartmann, G.: Development of a Cyber-Physical System for an Autonomous Indoor Transportation Service, International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT'2020)
Machhamer, R. ; Altenhofer, J.; Ueding, K.; Czenkusch, L.; Stolz, F.; Harth, M.; Mattern, M.; Latif, A.; Haab, S.; Herrmann, J.; Schmeink, A.; Gollmer, K.-U. & Dartmann, G.: Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection, International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT'2020)
Topal, O. A. ; Demir, M. Ö.; Liang, Z.; Pusane, A. E.; Dartmann, G.; Ascheid, G. & Karabulut Kurt, G.: A Physical Layer Security Framework for Cognitive Cyber-Physical Systems, in IEEE Wireless Communications, vol. 27, no. 4, pp. 32-39, August 2020, doi: 10.1109/MWC.01.1900543.
Demir, M. O. ; Pusane, A. E.; Dartmann, G.; Ascheid, G. & Kurt, G. K.: A Garden of Cyber Physical Systems: Requirements, Challenges, and Implementation Aspects, in IEEE Internet of Things Magazine, vol. 3, no. 3, pp. 84-89, September 2020, doi: 10.1109/IOTM.0001.1900056.
Machhamer, R.; Dziubany, M.; Czenkusch, L.; Laux, H.; Schmeink, A.; Gollmer, K.-U.; Naumann, S. & Dartmann, G.: Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware, in IEEE Access. doi: 10.1109/ACCESS.2019.2947581, 2019, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8869796&isnumber=6514899
Peine, A.; Hallawa, E.; Schöffski, O.; Dartmann, G.; Begic Fazlic, L.; Schmeink, A.; Marx, G. & Martin, L: A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study, JMIR Med Inform, 2019;7(4):e14806 URL: medinform.jmir.org/2019/4/e14806 DOI: 10.2196/14806
Hauck, M.; Machhamer, R.; Czenkusch, L.; Gollmer, K.-U. & Dartmann, G.: Node and Block-based Development Tools for Distributed Systems with AI Applications, in IEEE Access. doi: 10.1109/ACCESS.2019.2940113, 2019, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8827469&isnumber=6514899
Ayad, A.; Zamani, A.; Schmeink, A. & Dartmann, G.: Design and Implementation of a Hybrid Anomaly Detection System for IoT, Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS), IEEE, 2009, (accepted for publication)
Topal, O.A.; Liang, Z.; Ascheid, G.; Dartmann, G. & Karabulut Kurt, G.: Using of Wavelets for Secret Key Generation: A Measurement Based Study, in Telecommunications forum 2018, 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, IEEE Statistical Signal Processing Workshop (SSP), 2018
Dziubany, M.; Machhamer, R.; Laux, H.; Schmeink, A.; Gollmer, K.-U.; Burger, G. & Dartmann, G.: Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware, 26th European Signal Processing Conference (EUSIPCO), 2018
Pallasch, C.; Peitz, A.; Herfs, W.; Schmeink, A. & 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, 2018
Tedik Basaran, S.; Karabulut Kurt, G.; Oke Günel, G.; Schmeink, A.; Ascheid, G. & Dartmann, G.: The Safety Capacity: Disagreement Analysis of Wireless Communication-based Consensus. IEEE Wireless Communication Letters, 2018
Fischer-Stabel, P.: A Spatial Data Infrastructure (SDI) supporting Environmental Sciences Education in the National Park Hunsrück-Hochwald (Germany) InterCarto-InterGIS24, Proceedings of the interdisciplinary Conference on Geoinformation and Sustainable Development, July 24-28, 2018, Bonn, Germany
Fischer-Stabel, P.; Göttert, C. & Schneider, J.: Datenvisualisierung - Vom Diagramm zur Virtual Reality. UTB-Nr 5028, UKV-Verlag, München
Fischer-Stabel, P. & Solte-Gresser, C: Wölfe in der Großregion: Zwischen Mythos und Management. In: Sébastian Thiltges und Christiane Solte-Gresser (Hrsg.): Kulturökologie und ökologische Kulturen in der Großregion / Écologie culturelle et cultures écologiques dans la Grande Region. Interdisziplinäre Studien. Band 5 der Reihe: Studies in Literature, Culture, and the Environment, Frankfurt/New York: Peter Lang 2018.
Kern, E.; Guldner, A.; Naumann S.: Green and Sustainable Software: A research Landscape - in a partial state of completeness (Poster). In: Penzenstadler, B.; Easterbrook, S.; Venters, C.; Ahmed, S. I.; (Eds.) International Conference on Information and Communication Technology for Sustainability (ICT4S), Toronto, Canada, May 14-18, 2018, EPiC Series in Computing, Volume 52, Mai 2018.
Jungbluth, J.; Siedentopp, K.; Krieger, R.; Gerke, W. & Plapper, P.: Combining Virtual and Robot Assistants—A Case Study about Integrating Amazon’s Alexa as a Voice Interface in Robotics. In 2nd Robotix-Academy Conference for Industrial Robotics (RACIR) 2018, University of Luxembourg, Luxembourg, 04-05 June 2018: S. 35 - 39. http://orbilu.uni.lu/handle/10993/37876
Naumann, S.; Voigt, K., Kern, E.; Wohlgemuth, V.: Quo Vadis, Umweltinformatik? 6. Workshop: Umweltinformatik zwischen Nachhaltigkeit & Wandel (UINW 2018). In: Workshops der INFORMATIK 2018-Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, Köllen Druck+ Verlag GmbH, September 2018
Hinsberger, M.; Naumann, S.; Gollmer, K.; Langenbucher, A.; Schick, B. & Wenzel, G.: A heuristic algorithm to calculate optical properties of turbid media. In: Proc.SPIE 10685. DOI: 10.1117/12.2306778.
Gröger, J.; Köhler, A.; Naumann, S.; Filler, A.; Guldner, A.; Kern, E.; Hilty, L. M. & Maksimov, Y.: Entwicklung und Anwendung von Bewertungsgrundlagen für ressourceneffiziente Software unter Berücksichtigung bestehender Methodik. Abschlussbericht. TEXTE 105/2018 Umweltforschungsplan des Bundesministeriums für Umwelt, Naturschutz und nukleare Sicherheit. Dessau-Roßlau, Dezember 2018
Grumbach, L.;Rietzke, E.; Schwinn, M.; Bergmann, R. & Kuhn, N.: SEMANAS - Semantic Support for Grant Application Processes. In Lernen. Wissen. Daten. Analysen. (LWDA 2018), Volume 2191 of CEUR Workshop Proceedings, pages 126-131, 2018.
Gollmer, K.-U.; Schmidt, M.; Schröder, W. M. & Wartha, M.: Kompass: Künstliche Intelligenz – Plädoyer für einen aufgeklärten Umgang, Charta digitale Vernetzung e. V., 2018
Kern, E.; Silva, S. & Guldner, A.: Assessing the Sustainability Performance of Sustainability Management Software. In: Naumann, S., Kern, E. (Eds.): Special Issue “Advanced Green Information and Communication Technology“, Technologies Journal, MDPI, September 2018. dx.doi.org/10.3390/technologies6030088
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Kern, Eva; Dick, Markus; Naumann, Stefan; Hiller, Tim: Impacts of software and its engineering on the carbon footprint of ICT. In: Environmental Impact Assessment Review (2015), Volume 52, pp. 53-61. DOI information: 10.1016/j.eiar.2014.07.003, ISSN 0195-9255
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