The article shows possibilities of obtaining anthropometrical data through the image analysis-image processing. In our case, the subject of the analysis is a specific human image focused on the unique contours of the ...
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An important point for the widespread dissemination of FAIR-data is the lowest possible entry barrier for preparing and providing data to other scientists according to the FAIR criteria. If scientists have to manually...
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We study a typical intermediary task to Machine Translation, the alignment of NPs in the bitext. After arguing that the task remains relevant even in an end-to-end paradigm, we present simple, dictionary- and word vec...
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Electron microscopy is indispensable for examining the morphology and composition of solid materials at the sub-micron *** study the powder samples that are widely used in materials development,scanning electron micro...
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Electron microscopy is indispensable for examining the morphology and composition of solid materials at the sub-micron *** study the powder samples that are widely used in materials development,scanning electron microscopes(SEMs)are increasingly used at the laboratory scale to generate large datasets with hundreds of *** these images to identify distinct particles and determine their morphology requires careful analysis,and automating this process remains *** this work,we enhance the Mask R-CNN architecture to develop a method for automated segmentation of particles in SEM *** address several challenges inherent to measurements,such as image blur and particle ***,our method accounts for prediction uncertainty when such issues prevent accurate segmentation of a *** that disparate length scales are often present in large datasets,we use this framework to create two models that are separately trained to handle images obtained at low or high *** testing these models on a variety of inorganic samples,our approach to particle segmentation surpasses an established automated segmentation method and yields comparable results to the predictions of three domain experts,revealing comparable accuracy while requiring a fraction of the *** findings highlight the potential of deep learning in advancing autonomous workflows for materials characterization.
This paper introduces a multiobjective optimization strategy for minimizing both energy pulsation and power dissipation in modular multilevel converters (MMCs). The occurrence of energy pulsation and power dissipation...
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Design and manufacture of a novel varifocal freeform optics by means of high-resolution 3D printing are presented. Tuning of its focal length is achieved by mutually rotating two lens bodies around the optical axis. &...
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To establish trust in the measurement results, the metrological traceability of the measuring devices utilized must be ensured. This can be accomplished by confirming or calibrating the instruments. In reality, the in...
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Nowadays are smart homes aimed at healthy users. Much less emphasis is placed on the handicapped users. The article is focused on classification of function in a smart home for users with Alzheimer's disease assoc...
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Laser-scanning confocal microscopy of the human cornea acquires in vivo images of corneal tissues with cellular resolution, which offers diagnostic potential for a variety of diseases. However, involuntary fixational ...
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As the cast strand moves through the secondary cooling zone in a continuous casting machine, the secondary cooling zone is typically separated into a number of zones to control the cooling rate. The secondary cooling ...
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