Publications
Q1/2023
Hassanian, R., Yeganeh, N., Helgadottir, A. & Riedel, M. “A Novel Implicit Model Determines the Photovoltaic Panel Temperature and Environmental Effects”, APS March Meeting 2023, Bulletin of the American Physical Society, March 5-10, Las Vegas, Nevada, 2023.
APS March Meeting (Open Access)
Q1/2023
Hassanian R., Helgadottir A., L Bouhlali L., Riedel M. “An Experiment Generates a Specified Mean Strained Rate Turbulent Flow: Dynamics of Particles”, Physics of Fluids, Vol. 35(1), 2023.
DOI: https://doi.org/10.1063/5.0134306
Q1/2023
Orland, F., Brose, K. S., Bissantz, J., Ferraro, F., Terboven, C. & Hasse, C. (2023). A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks.
DOI: 10.1109/AI4S56813.2022.00007
Q4/2022
Hassanian, R., Helgadottir, A. & Riedel, M. “Parallel computing accelerates sequential deep networks model in turbulent flow forecasting”. The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC22, Dallas, November 13-18, Dallas, 2022.
SC22 Supercomputing (Open Access)
Q4/2022
Hassanian, R., Helgadottir, A. & Riedel, M. “Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU”, Fluids, 2022, 7(11), 344.
DOI: https://doi.org/10.3390/fluids7110344
Q4/2022
Gargallo-Peiró, A., Revilla, G., Avila, M. & Houzeaux, G. (2022). A Level Set-Based Actuator Disc Model for Turbine Realignment in Wind Farm Simulation: Meshing, Convergence and Applications.
DOI: https://www.mdpi.com/1996-1073/15/23/8877 | UPC repository (Open Access)
Q3/2022
M. Aach, R. Sedona, A. Lintermann, G. Cavallaro, H. Neukirchen and M. Riedel, "Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification," in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 263-266, 2022
DOI: 10.1109/IGARSS46834.2022.9883257 | JuSER (Open Access)
Q3/2022
R. Sedona, C. Paris, L. Tian, M. Riedel and G. Cavallaro, "An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory," in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 203-206, 2022
DOI: 10.1109/IGARSS46834.2022.9883257 | JuSER (Open Access)
Q3/2022
Hassanian, R., Riedel, M. & Bouhlali, L. (2022). The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features. IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC 2022)
DOI: https://ieeexplore.ieee.org/document/9922754 | UoI repository (Open Access)
Q3/2022
Mira, D., Pérez-Sánchez, E. J., Borell, R. & Houzeaux, G. (2022). HPC-enabling technologies for high-fidelity combustion simulations.
Q3/2022
Slaidiņš, I., Timrote, I., Zagorskis, V. & Cikovskis, L. (2022). Educational Service Platform for Artificial Intelligence Resources.
DOI: 10.1109/EAEEIE54893.2022.9820214 | ortus.rtu.lv (OpenAccess)
Q3/2022
Sumner, E. M.; Unnthorsson, R. & Riedel, M. (2022). Replicating Human Sound Localization with a Multi-Layer Perceptron.
Q2/2022
Hassanian R., Riedel M., Helgadottir A.,Costa P. & Bouhlali L. (2022). JUWELS Booster -- Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing. ParCFD 2022 conference, Alba, Italy
Q2/2022
Kesselheim, S., Herten, A., Krajsek, K., Ebert, J., Jitsev, J., Cherti, M., Langguth, M., Gong, B., Stadtler, S., Mozaffari, A., Cavallaro, G., Sedona, R., Schug, A., Strube, A., Kamath, R., Schultz, M. G., Riedel, M. & Lippert, T. (2022). JUWELS Booster -- A Supercomputer for Large-Scale AI Research.
Q2/2022
Hassanian, R., Yeganeh, N. & Riedel, M. (2022). Numerical Investigation on the Acceleration Vibration Response of Linear Actuator.
Q2/2022
Hassanian, R. & Riedel, M. (2022). Mechanical Elements Analysis of Stewart Platform: Computational Approach.
Q1/2022
Sumner, E. M., Aach, M., Lintermann, A., Unnthorsson, R. & Riedel, M. (2022). Speed-Up of Machine Learning for Sound Localization via High-Performance Computing. 2022 26th International Conference on Information Technology (IT)
DOI: 10.1109/IT54280.2022.9743519 | opinvisindi (OpenAccess)
Q1/2022
Hassanian, R., Riedel, M., & Yeganeh N. (2022). A Review in Context to Wind Effect on NOCT
Model for Photovoltaic Panel. Crimson Publisher
DOI:
Q1/2022
Hassanian, R., Riedel, M., Helgadottir A., Yeganeh N. & Unnthorsson R. (2022). Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model. Thermo 2022
Q4/2021
Hassanian, R., Yeganeh, N., Unnthorsson, R. & Riedel, M. (2021). A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data. MDPI Journals 2021
Q4/2021
Rüttgers, M., Waldmann, M., Schröder, W. & Lintermann, A. (2021). Machine-Learning-Based Control of Perturbed and Heated Channel Flows. High Performance Computing, Proceedings of the 36th International Conference, ISC High Performance 2021
Q3/2021
Benediktsson, J. A., Cavallaro, G. & Riedel, M. (2021). Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Q3/2021
Delilbasic, A., Cavallaro, G., Willsch, M., Melgani, F., Michielsen, K. & Riedel, M. (2021). Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Q3/2021
Sedona, R., Paris, C., Cavallaro, G., Bruzzone, L. & Riedel, M. (2021). A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Q2/2021
Sedona, R., Barakat, C., Einarsson, P., Hassanian, Cavallaro, G., R., Book, M., Neukirchen, H., Lintermann, A. & Riedel, M. (2021). Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
DOI:10.1109/IPDPSW52791.2021.00019 | JuSER (Open Access)