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Bangshuai Han, Moayad Yacoub, Aihua Li, Kirsten Nicholson, Joshua Gruver, Klaus Neumann and Subodh Sharma
Microplastic pollution is an emerging environmental concern, and has been found in remote regions, including the high Himalaya mountains. However, the abundance and sources of microplastics in the region are not well documented. This research investigate...
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Robert Idziak, Tomasz Sakowicz, Hubert Waligóra, Piotr Szulc, Leszek Majchrzak, Barbara Stachowiak and Malgorzata Neumann
Weed control in maize is usually limited to a single herbicide treatment, but the application of two or more herbicides is associated with many benefits, e.g., increasing the spectrum of control weeds, reducing the risk of damage to crops by using reduce...
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Andreas Neumann and Michaela Brchnelova
Electric space propulsion is a technology that is used in a continuously increasing number of spacecrafts. The qualification of these propulsion systems has to run in ground-based test facilities which requires long testing times and powerful pumping sys...
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Zifeng Zhao, Xuesong Yang, Ding Ding, Qiangyong Wang, Feiran Zhang, Zhicheng Hu, Kaikai Xu and Xuelin Wang
Physics-informed DeepONet (PI_DeepONet) is utilized for the reconstruction task of structural displacement based on measured strain. For beam and plate structures, the PI_DeepONet is built by regularizing the strain?displacement relation and boundary con...
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Andreas Wurzinger, Florian Kraxberger, Paul Maurerlehner, Bernhard Mayr-Mittermüller, Peter Rucz, Harald Sima, Manfred Kaltenbacher and Stefan Schoder
Acoustic emissions play a major role in the usability of many product categories. Therefore, mitigating the emitted sound directly at the source is paramount to improve usability and customer satisfaction. To reliably predict acoustic emissions, numerica...
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Ferenc Izsák and Taki Eddine Djebbar
We propose neural-network-based algorithms for the numerical solution of boundary-value problems for the Laplace equation. Such a numerical solution is inherently mesh-free, and in the approximation process, stochastic algorithms are employed. The chief ...
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Xiaoyu Han, Chenyu Li, Zifan Wang and Guohua Liu
Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML). Although search methods based on reinforcement learning and evolutionary ...
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Mareen Derda, Ferdinand Neumann and Paul Uwe Thamsen
Even if wind tunnel tests and simulations have confirmed that tubercles can influence the behaviour of a profile, research in the field of axial pumps has so far been lacking. However, previous studies cannot be transferred to the application of axial pu...
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Vladislav Kholkin, Olga Druzhina, Valerii Vatnik, Maksim Kulagin, Timur Karimov and Denis Butusov
For the last two decades, artificial neural networks (ANNs) of the third generation, also known as spiking neural networks (SNN), have remained a subject of interest for researchers. A significant difficulty for the practical application of SNNs is their...
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Giampiero Lovat, Paolo Burghignoli, Rodolfo Araneo and Salvatore Celozzi
The electromagnetic interaction between a circular disk with finite conductivity and finite thickness and a coaxial circular loop of constant current is addressed here. The finite conductivity and thickness of the material disk lead to the adoption of su...
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