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  1. Distributionally Robust Generation Expansion Planning Model Considering RES Integrations 

    Han, Xuejiao; Hug, Gabriela (2019)
    A generation expansion planning strategy to derive the optimal generation mix for distribution systems is proposed in this paper. The considered candidate units include decentralized storage units, variable generation units, dispatchable generation units and flexible loads. The uncertainties in demand, wind and PV generation forecasts are characterized by an ambiguity set that defines a family of distributions. Following the principle of ...
    Conference Paper

  2. Numerical Sculpting - Volumetric Modelling Tools for in place Spatial Additive Manufacturing 

    Mitropoulou, Ioanna; Ariza, Inés; Bernhard, Mathias; et al. (2019)
    Impact: Design With All Senses
    Conference Paper

  3. 3D-Printed Formwork for Bespoke Concrete Stairs: From Computational Design to Digital Fabrication 

    Jipa, Andrei; Chousou, Georgia; Lomaglio, Matteo; et al. (2019)
    Conference Paper

  4. Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks 

    Barata, Filipe; Kipfer, Kevin; Weber, Maurice; et al. (2019)
    Ubiquitous mobile devices have the potential to reduce the financial burden of healthcare systems by providing scalable and cost-efficient health monitoring applications. Coughing is a symptom associated with prevalent pulmonary diseases, and bears great potential for being exploited by monitoring applications. Prior research has shown the feasibility of cough detection by smartphone-based audio recordings, but it is still open as to ...
    Conference Paper

  5. Telemedicine Therapy for Overweight Adolescents: First Results of a Novel Smartphone App Intervention Using a Behavioural Health Platform 

    Heldt, Katrin; Buchter, Dirk; Brogle, Björn; et al. (2018)
    HORMONE RESEARCH IN PAEDIATRICS
    Conference Paper

  6. How to choose the right planning horizon? Using multi-objective optimization to support urban planning 

    Schwaab, Jonas; Deb, Kalyanmoy; Goodman, Erik; et al. (2017)
    Proceedings of the 22nd International Congress on Modelling and Simulation
    Conference Paper

  7. Structural Self-adaptation for Decentralized Pervasive Intelligence 

    Nikolić, Jovan; Pournaras, Evangelos (2019)
    Conference Paper

  8. Cascading Failures in Interconnected Power-to-Water Networks 

    Pournaras, Evangelos; Taormina, Riccardo; Thapa, Manish; et al. (2019)
    Conference Paper

  9. Bringing advanced analytics to manufacturing: A systematic mapping 

    Wolf, Hergen; Lorenz, Rafael; Kraus, Mathias; et al. (2019)
    IFIP Advances in Information and Communication Technology
    Conference Paper

  10. Influence of atmospheric refraction on terrestrial laser scanning at long range 

    Friedli, Ephraim; Presl, Robert; Wieser, Andreas (2019)
    4th Joint International Symposium on Deformation Monitoring: JISDM
    Conference Paper

  11. Robust pointwise correspondences for point cloud based deformation monitoring of natural scenes 

    Gojcic, Zan; Zhou, Caifa; Wieser, Andreas (2019)
    4th Joint International Symposium on Deformation Monitoring: JISDM
    Conference Paper

  12. Numerical structural identification using 3D laser scanning – a simulation-based case study 

    Serantoni, Eugenio; Wieser, Andreas (2019)
    4th Joint International Symposium on Deformation Monitoring: JISDM
    Conference Paper

  13. Surrogating the response PDF of stochastic simulators using generalized lambda distributions 

    Zhu, Xujia; Sudret, Bruno (2019)
    ICASP13 Proceedings
    Computer simulation is used in all fields of applied science and engineering to represent complex systems and be able to make predictions about their behavior. Kriging and polynomial chaos (PC) expansions are nowadays well-established techniques to surrogate complex models when a large number of runs is required, which is the case in the context of optimization or uncertainty quantification. Classically, computer models are deterministic, ...
    Conference Paper

  14. Sequential piecewise PCE approximation of likelihood functions in Bayesian inference 

    Sudret, Bruno; Wagner, Paul-Remo; Marelli, Stefano; et al. (2019)
    ICASP13 Proceedings
    A method for sequentially constructing polynomial chaos expansions, with the aim of approximating likelihood functions that occur in Bayesian inference problems is presented. The proposed approach is called piecewise polynomial chaos expansion (P-PCE) and is based on sequentially constructing PCEs in refined domains on the residuals of previously constructed PCEs. The obtained local spectral representation allows the computation of posterior ...
    Conference Paper

  15. Project PBerry: FPGA Acceleration for Remote Memory 

    Calciu, Irina; Puddu, Ivan; Kolli, Aasheesh; et al. (2019)
    Proceedings of the Workshop on Hot Topics in Operating Systems
    Conference Paper

  16. A fork() in the road 

    Baumann, Andrew; Appavoo, Jonathan; Krieger, Orran; et al. (2019)
    Proceedings of the Workshop on Hot Topics in Operating Systems
    Conference Paper

  17. MiCoP: Microbial community profiling method for detecting viral and fungal organisms in metagenomic samples 

    LaPierre, Nathan; Mangul, Serghei; Alser, Mohammed; et al. (2019)
    BMC Genomics
    Background High throughput sequencing has spurred the development of metagenomics, which involves the direct analysis of microbial communities in various environments such as soil, ocean water, and the human body. Many existing methods based on marker genes or k-mers have limited sensitivity or are too computationally demanding for many users. Additionally, most work in metagenomics has focused on bacteria and archaea, neglecting to study ...
    Conference Paper

  18. On the impact of choice architectures on inequality in online donation platforms 

    Chakraborty, Abhijnan; Mota, Nuno; Biega, Asia J.; et al. (2019)
    Proceedings of the 2019 World Wide Web Conference (WWW’19)
    Online donation platforms, such as DonorsChoose, GlobalGiving, or CrowdFunder, enable donors to financially support entities in need. In a typical scenario, after a fundraiser submits a request specifying her need, donors contribute financially to help raise the target amount within a pre-specified timeframe. While the goal of such platforms is to counterbalance societal inequalities, biased donation trends might exacerbate the unfair ...
    Conference Paper

  19. Sensing social media signals for cryptocurrency news 

    Beck, Johannes; Huang, Roberta; Lindner, David; et al. (2019)
    Proceedings of the 2019 World Wide Web Conference (WWW’19)
    The ability to track and monitor relevant and important news in real-time is of crucial interest in multiple industrial sectors. In this work, we focus on cryptocurrency news, which recently became of emerging interest to the general and financial audience. In order to track popular news in real-time, we (i) match news from the web with tweets from social media, (ii) track their intraday tweet activity and (iii) explore different machine ...
    Conference Paper

  20. Learning from On-Line User Feedback in Neural Question Answering on the Web 

    Kratzwald, Bernhard; Feuerriegel, Stefan (2019)
    WWW '19 The World Wide Web Conference
    Question answering promises a means of efficiently searching web-based content repositories such as Wikipedia. However, the systems of this type most prevalent today merely conduct their learning once in an offline training phase while, afterwards, all parameters remain static. Thus, the possibility of improvement over time is precluded. As a consequence of this shortcoming, question answering is not currently taking advantage of the ...
    Conference Paper

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