Learning strategies are important in students’ learning. Several studies in tertiary mathematics education focused on learning strategies. Yet, there is no instrument that adequately covers the specialties of learning ...
We unravel dimensions, conditions, and outcomes of digitalization for Hidden Champions (HCs) in rural areas in Germany. As highly innovative small- and medium-sized market leaders, HCs are challenged to maintain their niche ...
van Dobben de Bruyn, Remy; Paulsen, Matthias(Cambridge : Cambridge Univ. Press, 2021)
The original publication of this article includes an error introduced during the publication process. On three occasions, Remark 4.4 has been incorrectly referred to as Theorem 4.4. Please find listed below the corrected ...
Electrochemical hydrogen compression is seen as a promising alternative to mechanical compression in the context of power-togas plants. It can be carried out either as direct co-compression in a water electrolyzer (WE) or ...
Provisioning ecosystem services play a vital role in sustaining human well-being. Agro-ecosystems contribute a significant share of these services, besides food and fodder and also fuel and fibre as well as regulating and ...
Flexible Job Shop Scheduling is one of the most difficult optimization problems known. In addition, modern production planning and control strategies require continuous and process-parallel optimization of machine allocation ...
Günnemann, Carsten; Bahnemann, Detlef W.; Robertson, Peter K. J.(Washington, DC : ACS Publications, 2021)
In order to improve the performance of well-established photocatalysts and to develop new potential photocatalyst materials, an understanding of the underlying mechanisms of photocatalytic reactions is of the utmost ...
Rabus, H.; Li, W.B.; Villagrasa, C.; Schuemann, J.; Hepperle, P.A.; de la Fuente Rosales, L.; Beuve, M.; Di Maria, S.; Klapproth, A.P.; Li, C.Y.; Poignant, F.; Rudek, B.; Nettelbeck, H.(Amsterdam : Elsevier, 2021)
Results of a Monte Carlo code intercomparison exercise for simulations of the dose enhancement from a gold nanoparticle (GNP) irradiated by X-rays have been recently reported. To highlight potential differences between ...
The water footprint has developed into a widely-used concept to examine water use and resulting local impacts caused during agricultural and industrial production. Building on recent advancements in the water footprint ...
We study the finite-time blow-up in two variants of the parabolic–elliptic Keller–Segel system with nonlinear diffusion and logistic source. In n-dimensional balls, we consider {ut=∇·((u+1)m-1∇u-u∇v)+λu-μu1+κ,0=Δv-1|Ω|∫Ωu+uand ...
Thermal anomaly detection has an important role in remote sensing. One of the most widely used instruments for this task is a Thermal InfraRed (TIR) camera. In this work, thermal anomaly detection is formulated as a salient ...
Additive manufacturing (AM) processes such as electron beam melting (EBM) are characterized by unprecedented design freedom. Topology optimization and design of the microstructure of metallic materials are enabled by rapid ...
Although very efficient in a number of application fields, deep learning based models are known to demand large amounts of labeled data for training. Particularly for remote sensing applications, responding to that demand ...
Laurençot, Philippe; Nik, Katerina; Walker, Christoph(Dordrecht [u.a.] : Springer Science + Business Media B.V, 2021)
Energy minimizers to a MEMS model with an insulating layer are shown to converge in its reinforced limit to the minimizer of the limiting model as the thickness of the layer tends to zero. The proof relies on the identification ...
Real world localization tasks based on LiDAR usually face a high proportion of outliers arising from erroneous measurements and changing environments. However, applications such as autonomous driving require a high integrity ...
Mahdi, Elsadig; Ochoa, Daniel R. Hernández; Vaziri, Ashkan; Dean, Aamir; Kucukvar, Murat(Amsterdam : Elsevier, 2020)
The circular economy (CE) proposes a closed-loop supply chain-based production system and reduces the ecological systems' negative impacts. CE proposes a paradigm shift from a linear economy to a circular economy with the ...
Fully convolutional neural networks (FCN) are successfully used for pixel-wise land cover classification - the task of identifying the physical material of the Earth's surface for every pixel in an image. The acquisition ...
In order to leverage and profit from unlabelled data, semi-supervised frameworks for semantic segmentation based on consistency training have been proven to be powerful tools to significantly improve the performance of ...
Ghosh, B.; Haghshenas Haghighi, M.; Motagh, M.; Maghsudi, S.(Katlenburg-Lindau : Copernicus, 2021)
Spatiotemporal variations of pressure, temperature, water vapour content in the atmosphere lead to significant delays in interferometric synthetic aperture radar (InSAR) measurements of deformations in the ground. One of ...