Publications

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.

DOI: 10.1016/j.proci.2022.07.222 | UPC (OpenAccess)

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.

DOI: 10.5281/zenodo.6797854

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

UoI repository (Open Access)

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.

DOI: 10.48550/arXiv.2108.11976

Q2/2022

Hassanian, R., Yeganeh, N. & Riedel, M. (2022). Numerical Investigation on the Acceleration Vibration Response of Linear Actuator.

DOI: 10.4236/oalib.1108625 | opinvisindi (OpenAccess)

Q2/2022

Hassanian, R. & Riedel, M. (2022). Mechanical Elements Analysis of Stewart Platform: Computational Approach.

DOI: 10.21275/SR2242009233

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

DOI:10.3390/thermo2010004

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

DOI:10.3390/solar1010005

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

DOI:10.1007/978-3-030-90539-2_1

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

DOI:10.1109/IGARSS47720.2021.9554656 | JuSER (Open Access)

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

DOI:10.1109/IGARSS47720.2021.9554802 | JuSER (Open Access)

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

DOI:10.1109/JSTARS.2021.3115604

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)