Institution
Vienna University of Technology
Education•Vienna, Austria•
About: Vienna University of Technology is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Laser & Context (language use). The organization has 16723 authors who have published 49341 publications receiving 1302168 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the D 3-brane tadpole and the induced chirality indices are computed directly in F-theory compactifications by identifying algebraic cycles in the Weierstrass equation of elliptic Calabi-Yau fourfolds.
177 citations
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TL;DR: The requirements for process data analysis pipelines are characterized and recommendations are offered for each phase of the pipeline, showing a stronger focus on the storage and analysis phases of pipelines than on the ingestion, communication, and visualization stages.
Abstract: Smart manufacturing is strongly correlated with the digitization of all manufacturing activities. This increases the amount of data available to drive productivity and profit through data-driven decision making programs. The goal of this article is to assist data engineers in designing big data analysis pipelines for manufacturing process data. Thus, this paper characterizes the requirements for process data analysis pipelines and surveys existing platforms from academic literature. The results demonstrate a stronger focus on the storage and analysis phases of pipelines than on the ingestion, communication, and visualization stages. Results also show a tendency towards custom tools for ingestion and visualization, and relational data tools for storage and analysis. Tools for handling heterogeneous data are generally well-represented throughout the pipeline. Finally, batch processing tools are more widely adopted than real-time stream processing frameworks, and most pipelines opt for a common script-based data processing approach. Based on these results, recommendations are offered for each phase of the pipeline.
177 citations
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TL;DR: In this paper, the authors propose an analogy between extrapolation in space (termed Prediction in Ungauged Basins, PUB) and prediction in time for estimating model parameters.
Abstract: Changing hydrological conditions due to climate, land use and infrastructure pose significant ongoing challenges to the hydrological research and water management communities. While, traditionally, hydrological models have assumed stationary conditions, there has been much progress since 2005 on model parameter estimation under unknown or changed conditions and on techniques for modelling in those conditions. There is an analogy between extrapolation in space (termed Prediction in Ungauged Basins, PUB), and extrapolation in time (termed Prediction in Ungauged Climates, PUC) that can be exploited for estimating model parameters. Methods for modelling changing hydrological conditions need to progress beyond the current scenario approach, which is reliant upon precalibrated models. Top-down methods and analysis of spatial gradients of a variable of interest, instead of temporal gradients (a method termed ‘Trading space for time’) show much promise for validating more complex model projections. Understanding ...
176 citations
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TL;DR: In an indirectly heated laboratory-scale rotary reactor, mixtures of MSW fly ash with different amounts and different types of chlorides are treated batch-wise at 1000°C for 60min; in a muffle oven, the same samples are thermally treated between 800 and 1200 Â c for 20h.
176 citations
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TL;DR: This review introduces to the scientific community the development of modern tools for Trichoderma species identification: the oligonucleotide barcode program TrichOKEY version 1.0, and TrichoBLAST, the multilocus database of vouchered sequences powered by a similarity search tool, which make it possible to identify all known Trichodma species based on sequence analysis.
176 citations
Authors
Showing all 16934 results
Name | H-index | Papers | Citations |
---|---|---|---|
Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
Wolfgang Wagner | 156 | 2342 | 123391 |
Marco Zanetti | 145 | 1439 | 104610 |
Sridhara Dasu | 140 | 1675 | 103185 |
Duncan Carlsmith | 138 | 1660 | 103642 |
Ulrich Heintz | 136 | 1688 | 99829 |
Matthew Herndon | 133 | 1732 | 97466 |
Frank Würthwein | 133 | 1584 | 94613 |
Alain Hervé | 132 | 1279 | 87763 |
Manfred Jeitler | 132 | 1278 | 89645 |
David Taylor | 131 | 2469 | 93220 |
Roberto Covarelli | 131 | 1516 | 89981 |
Patricia McBride | 129 | 1230 | 81787 |
David Smith | 129 | 2184 | 100917 |
Lindsey Gray | 129 | 1170 | 81317 |