Fachgruppe Künstliche Intelligenz in Anwendungen (KIA)
Publikationen 2026:
- Prompt-Driven Container Orchestration, Beuter, N., Drews, A., Kratzke, N. (2026). In: Pahl, C., van Steen, M. (eds) Cloud Computing and Services Science. CLOSER 2024. Communications in Computer and Information Science, vol 2851. Springer, Cham. https://doi.org/10.1007/978-3-032-17286-0_4
- PSYCH—Psychometric Assessment of Large Language Model Characters: An Exploration of the German Language, Kratzke, N.; Beuter, N.; Drews, A.; Janneck, M. PSYCH—Psychometric
Assessment of Large Language Model Characters: An Exploration of the German Language. Analytics 2026, 5, 5. doi.org/10.3390/analytics5010005
Academic Editor: Carson K. Leung Received: 25 November 2025 / Revised: 23 December 2025 / Accepted: 31 December 2025 / Published: 6 January 2026
Publikationen 2025:
- Prompt-Driven and Kubernetes Error Report-Aware Container Orchestration. Beuter, N.; Drews, A.; Kratzke, N. Future Internet 2025, 17, 416. https://doi.org 10.3390/fi17090416 Academic Editors: Sardar Jaf, Basel Barakat and Yongqiang Cheng Received: 5 August 2025 / Revised: 4 September 2025 / Accepted: 8 September 2025 / Published: 11 September 2025
- Spatial-temporal variation of precipitation in Niedersachsen, Germany, using statistical and graphical trend methods considering climatic drivers, Cengiz, T. M., Kisi, O., Vishwakarma, D. K., Sankalp, S., Bassukas, D. & Külls, C.. Hydrological Sciences Journal, Informa UK Limited, 2025, pp. 1–22
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modelling., Kisi, O., Heddam, S., Parmar, K. S., Petroselli, A., Külls, C. & Zounemat-Kermani, M. Scientific Reports, Springer Science and Business Media LLC, 2025, Vol. 15(1)
Publikationen 2024:
- Don't Train, Just Prompt: Towards a Prompt Engineering Approach for a More Generative Container Orchestration Management, N. Kratzke, A. Drews, Conference: Cloud Computing and Service Sciences (CLOSER 2024)At: Angers, France
- M. Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship. Results in Engineering, Kisi, O., Mohammad Azamathulla, H., Cevat, F., Külls, C., Kuhdaragh, M. and Fuladipanah, , river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship. Results in Engineering, 2024, Vol. 22
- A new method for monthly streamflow prediction using multi-source data: range-dependent multivariate adaptive regression splines genetic algorithm., Idowu, M., Külls, C. & Kisi, O. Hydrological Sciences Journal, 2024, Vol. 69(13), pp. 1860-1880
- Comments on Machine learning based time series models for effective CO2 emission prediction in India., Kisi, O., Melo, C., Fischer, L., Brandt, H., Heims, L., Loaec, A., Masomy, W., Parvez, M., Roehl, J. & Külls, C. by Kumari and Singh, doi.org/10.1007/s11356-022. Environmental Science and Pollution Research, 2024, Vol. 31(30), pp. 43426-43429
- Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data., Kisi, O., Heddam, S., Parmar, K., Yaseen, Z. & Külls, C. Stochastic Environmental Research and Risk Assessment, 2024, Vol. 38(6), pp. 2489-2519
Publikationen 2023:
- Comments on Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques by Wu, Yangi et al., Kisi, O., Ajri, S., Jörgens, K., Karande, A., Kraus, S., Naumann, B., Nierman, K., Seel, W. & Külls, C. doi.org/10.1007/s11356-022-22048-2. Environmental Science and Pollution Research, 2023, Vol. 30(50), pp. 109854-109855
- Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence. Kisi, O., Liepelt, K. & Külls, C. Discussion of Improving Prediction Accuracy of Hydrologic Journal of Hydrologic Engineering, 2023, Vol. 28(4)
- Estimation of Mean Velocity Upstream and Downstream of a Bridge Model Using Metaheuristic Regression Methods. Water Resources Management, Kisi, O., Ardiliolu, M., Hadi, A., Kuriqi, A. & Külls, C., 2023, Vol. 37(14), pp. 5559-5580
- M. Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm., Adnan, R., Dai, H.-L., Kisi, O., Heddam, S., Kim, S., Külls, C. & Zounemat-Kermani, Environmental Science and Pollution Research,2023, Vol. 30(41), pp. 94312-94333
Publikationen 2022:
- Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data, Mehraein, M., Mohanavelu, A., Naganna, S. R., Külls, C. & Kisi, O.. Water, MDPI AG, 2022, Vol. 14(22), pp. 3636
